Close httplib2 connections.
list(filter=None, languageCode=None, locationId=None, parent=None, x__xgafv=None)
Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/dlp/docs/infotypes-reference to learn more.
+Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference to learn more.
close()
@@ -88,7 +88,7 @@ list(filter=None, languageCode=None, locationId=None, parent=None, x__xgafv=None)
- Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/dlp/docs/infotypes-reference to learn more. +Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference to learn more. Args: filter: string, filter to only return infoTypes supported by certain parts of the API. Defaults to supported_by=INSPECT. diff --git a/docs/dyn/dlp_v2.locations.infoTypes.html b/docs/dyn/dlp_v2.locations.infoTypes.html index 7522ca5720..9af670a9fb 100644 --- a/docs/dyn/dlp_v2.locations.infoTypes.html +++ b/docs/dyn/dlp_v2.locations.infoTypes.html @@ -79,7 +79,7 @@Instance Methods
Close httplib2 connections.
-
list(parent, filter=None, languageCode=None, locationId=None, x__xgafv=None)Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/dlp/docs/infotypes-reference to learn more.
+Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference to learn more.
Method Details
close()@@ -88,7 +88,7 @@Method Details
list(parent, filter=None, languageCode=None, locationId=None, x__xgafv=None)-Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/dlp/docs/infotypes-reference to learn more. +Returns a list of the sensitive information types that DLP API supports. See https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference to learn more. Args: parent: string, The parent resource name. The format of this value is as follows: locations/ LOCATION_ID (required) diff --git a/docs/dyn/dlp_v2.organizations.deidentifyTemplates.html b/docs/dyn/dlp_v2.organizations.deidentifyTemplates.html index 6682d0628b..2b0857f0cb 100644 --- a/docs/dyn/dlp_v2.organizations.deidentifyTemplates.html +++ b/docs/dyn/dlp_v2.organizations.deidentifyTemplates.html @@ -79,22 +79,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateDeidentifyTemplate. - "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Required. The DeidentifyTemplate to create. + "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Required. The DeidentifyTemplate to create. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -129,7 +129,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -145,7 +145,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -153,7 +153,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -232,7 +232,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -244,16 +244,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -265,13 +265,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -284,20 +284,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -311,7 +311,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -376,7 +376,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -438,7 +438,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -446,7 +446,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -525,7 +525,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -537,16 +537,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -558,13 +558,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -577,20 +577,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -604,7 +604,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -669,7 +669,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -685,7 +685,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -764,7 +764,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -776,16 +776,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -797,13 +797,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -816,20 +816,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -843,7 +843,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -908,7 +908,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -985,7 +985,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1003,7 +1003,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1019,7 +1019,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1027,7 +1027,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1106,7 +1106,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1118,16 +1118,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1139,13 +1139,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1158,20 +1158,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1185,7 +1185,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1250,7 +1250,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1312,7 +1312,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1320,7 +1320,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1399,7 +1399,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1411,16 +1411,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1432,13 +1432,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1451,20 +1451,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1478,7 +1478,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1543,7 +1543,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1559,7 +1559,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1638,7 +1638,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1650,16 +1650,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1671,13 +1671,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1690,20 +1690,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1717,7 +1717,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1782,7 +1782,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1851,7 +1851,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of the organization and deidentify template to be deleted, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -1869,7 +1869,7 @@Method Details
get(name, x__xgafv=None)-Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of the organization and deidentify template to be read, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -1881,7 +1881,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1899,7 +1899,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1915,7 +1915,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1923,7 +1923,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2002,7 +2002,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2014,16 +2014,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2035,13 +2035,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2054,20 +2054,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2081,7 +2081,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2146,7 +2146,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2208,7 +2208,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2216,7 +2216,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2295,7 +2295,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2307,16 +2307,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2328,13 +2328,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2347,20 +2347,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2374,7 +2374,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2439,7 +2439,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2455,7 +2455,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2534,7 +2534,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2546,16 +2546,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2567,13 +2567,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2586,20 +2586,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2613,7 +2613,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2678,7 +2678,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2747,10 +2747,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the template was created. - `update_time`: corresponds to the time the template was last updated. - `name`: corresponds to the template's name. - `display_name`: corresponds to the template's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -2765,7 +2765,7 @@Method Details
{ # Response message for ListDeidentifyTemplates. "deidentifyTemplates": [ # List of deidentify templates, up to page_size in ListDeidentifyTemplatesRequest. - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -2783,7 +2783,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2799,7 +2799,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2807,7 +2807,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2886,7 +2886,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2898,16 +2898,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2919,13 +2919,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2938,20 +2938,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2965,7 +2965,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3030,7 +3030,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3092,7 +3092,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3100,7 +3100,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3179,7 +3179,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3191,16 +3191,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3212,13 +3212,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3231,20 +3231,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3258,7 +3258,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3323,7 +3323,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3339,7 +3339,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3418,7 +3418,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3430,16 +3430,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3451,13 +3451,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3470,20 +3470,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3497,7 +3497,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3562,7 +3562,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3648,7 +3648,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of organization and deidentify template to be updated, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -3656,7 +3656,7 @@Method Details
The object takes the form of: { # Request message for UpdateDeidentifyTemplate. - "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # New DeidentifyTemplate value. + "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # New DeidentifyTemplate value. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -3674,7 +3674,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3690,7 +3690,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3698,7 +3698,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3777,7 +3777,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3789,16 +3789,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3810,13 +3810,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3829,20 +3829,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3856,7 +3856,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3921,7 +3921,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3983,7 +3983,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3991,7 +3991,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4070,7 +4070,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4082,16 +4082,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4103,13 +4103,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4122,20 +4122,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4149,7 +4149,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4214,7 +4214,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4230,7 +4230,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4309,7 +4309,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4321,16 +4321,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4342,13 +4342,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4361,20 +4361,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4388,7 +4388,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4453,7 +4453,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4529,7 +4529,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -4547,7 +4547,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4563,7 +4563,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4571,7 +4571,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4650,7 +4650,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4662,16 +4662,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4683,13 +4683,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4702,20 +4702,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4729,7 +4729,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4794,7 +4794,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4856,7 +4856,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4864,7 +4864,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4943,7 +4943,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4955,16 +4955,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4976,13 +4976,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4995,20 +4995,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5022,7 +5022,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5087,7 +5087,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5103,7 +5103,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5182,7 +5182,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5194,16 +5194,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5215,13 +5215,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5234,20 +5234,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5261,7 +5261,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5326,7 +5326,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], diff --git a/docs/dyn/dlp_v2.organizations.inspectTemplates.html b/docs/dyn/dlp_v2.organizations.inspectTemplates.html index 8950607588..e2614cb141 100644 --- a/docs/dyn/dlp_v2.organizations.inspectTemplates.html +++ b/docs/dyn/dlp_v2.organizations.inspectTemplates.html @@ -79,22 +79,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-Deletes an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Deletes an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-Gets an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Gets an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists InspectTemplates. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Lists InspectTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Updates the InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateInspectTemplate. - "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Required. The InspectTemplate to create. + "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Required. The InspectTemplate to create. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -119,7 +119,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -134,16 +134,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -153,7 +153,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -173,15 +173,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -192,7 +192,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -204,11 +204,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -221,7 +221,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -231,9 +231,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -250,13 +250,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -283,9 +283,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -308,7 +308,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -316,7 +316,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -331,16 +331,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -350,7 +350,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -370,15 +370,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -389,7 +389,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -401,11 +401,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -418,7 +418,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -428,9 +428,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -447,13 +447,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -480,9 +480,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -497,7 +497,7 @@Method Details
delete(name, x__xgafv=None)-Deletes an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Deletes an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of the organization and inspectTemplate to be deleted, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -515,7 +515,7 @@Method Details
get(name, x__xgafv=None)-Gets an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Gets an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of the organization and inspectTemplate to be read, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -527,7 +527,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -535,7 +535,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -550,16 +550,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -569,7 +569,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -589,15 +589,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -608,7 +608,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -620,11 +620,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -637,7 +637,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -647,9 +647,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -666,13 +666,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -699,9 +699,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -716,10 +716,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists InspectTemplates. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Lists InspectTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the template was created. - `update_time`: corresponds to the time the template was last updated. - `name`: corresponds to the template's name. - `display_name`: corresponds to the template's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -734,7 +734,7 @@Method Details
{ # Response message for ListInspectTemplates. "inspectTemplates": [ # List of inspectTemplates, up to page_size in ListInspectTemplatesRequest. - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -742,7 +742,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -757,16 +757,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -776,7 +776,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -796,15 +796,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -815,7 +815,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -827,11 +827,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -844,7 +844,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -854,9 +854,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -873,13 +873,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -906,9 +906,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -940,7 +940,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Updates the InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of organization and inspectTemplate to be updated, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -948,7 +948,7 @@Method Details
The object takes the form of: { # Request message for UpdateInspectTemplate. - "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # New InspectTemplate value. + "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # New InspectTemplate value. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -956,7 +956,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -971,16 +971,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -990,7 +990,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1010,15 +1010,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1029,7 +1029,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1041,11 +1041,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1058,7 +1058,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1068,9 +1068,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1087,13 +1087,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1120,9 +1120,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -1144,7 +1144,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -1152,7 +1152,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -1167,16 +1167,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1186,7 +1186,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1206,15 +1206,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1225,7 +1225,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1237,11 +1237,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1254,7 +1254,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1264,9 +1264,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1283,13 +1283,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1316,9 +1316,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, diff --git a/docs/dyn/dlp_v2.organizations.locations.columnDataProfiles.html b/docs/dyn/dlp_v2.organizations.locations.columnDataProfiles.html new file mode 100644 index 0000000000..0a59fe3260 --- /dev/null +++ b/docs/dyn/dlp_v2.organizations.locations.columnDataProfiles.html @@ -0,0 +1,266 @@ + + + +Sensitive Data Protection (DLP) . organizations . locations . columnDataProfiles
+Instance Methods
++
+close()Close httplib2 connections.
+ +Gets a column data profile.
++
+list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists data profiles for an organization.
+ +Retrieves the next page of results.
+Method Details
+++ +close()+Close httplib2 connections.+++ +get(name, x__xgafv=None)+Gets a column data profile. + +Args: + name: string, Required. Resource name, for example `organizations/12345/locations/us/columnDataProfiles/53234423`. (required) + x__xgafv: string, V1 error format. + Allowed values + 1 - v1 error format + 2 - v2 error format + +Returns: + An object of the form: + + { # The profile for a scanned column within a table. + "column": "A String", # The name of the column. + "columnInfoType": { # The infoType details for this column. # If it's been determined this column can be identified as a single type, this will be set. Otherwise the column either has unidentifiable content or mixed types. + "estimatedPrevalence": 42, # Not populated for predicted infotypes. + "infoType": { # Type of information detected by the API. # The infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + "columnType": "A String", # The data type of a given column. + "dataRiskLevel": { # Score is a summary of all elements in the data profile. A higher number means more risk. # The data risk level for this column. + "score": "A String", # The score applied to the resource. + }, + "datasetId": "A String", # The BigQuery dataset ID. + "datasetLocation": "A String", # The BigQuery location where the dataset's data is stored. See https://cloud.google.com/bigquery/docs/locations for supported locations. + "datasetProjectId": "A String", # The Google Cloud project ID that owns the profiled resource. + "estimatedNullPercentage": "A String", # Approximate percentage of entries being null in the column. + "estimatedUniquenessScore": "A String", # Approximate uniqueness of the column. + "freeTextScore": 3.14, # The likelihood that this column contains free-form text. A value close to 1 may indicate the column is likely to contain free-form or natural language text. Range in 0-1. + "name": "A String", # The name of the profile. + "otherMatches": [ # Other types found within this column. List will be unordered. + { # Infotype details for other infoTypes found within a column. + "estimatedPrevalence": 42, # Approximate percentage of non-null rows that contained data detected by this infotype. + "excludedFromAnalysis": True or False, # Whether this infoType was excluded from sensitivity and risk analysis due to factors such as low prevalence (subject to change). + "infoType": { # Type of information detected by the API. # The other infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + ], + "policyState": "A String", # Indicates if a policy tag has been applied to the column. + "profileLastGenerated": "A String", # The last time the profile was generated. + "profileStatus": { # Success or errors for the profile generation. # Success or error status from the most recent profile generation attempt. May be empty if the profile is still being generated. + "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Profiling status code and optional message. The `status.code` value is 0 (default value) for OK. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamp": "A String", # Time when the profile generation status was updated + }, + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # The sensitivity of this column. + "score": "A String", # The sensitivity score applied to the resource. + }, + "state": "A String", # State of a profile. + "tableDataProfile": "A String", # The resource name of the table data profile. + "tableFullResource": "A String", # The resource name of the resource this column is within. + "tableId": "A String", # The BigQuery table ID. +}+++ +list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)+Lists data profiles for an organization. + +Args: + parent: string, Required. Resource name of the organization or project, for example `organizations/433245324/locations/europe` or projects/project-id/locations/asia. (required) + filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values: - `table_data_profile_name` - The name of the related table data profile. - `project_id` - The Google Cloud project ID. (REQUIRED) - `dataset_id` - The BigQuery dataset ID. (REQUIRED) - `table_id` - The BigQuery table ID. (REQUIRED) - `field_id` - The ID of the BigQuery field. - `info_type` - The infotype detected in the resource. - `sensitivity_level` - HIGH|MEDIUM|LOW - `data_risk_level`: How much risk is associated with this data. - `status_code` - an RPC status code as defined in https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto * The operator must be `=` for project_id, dataset_id, and table_id. Other filters also support `!=`. Examples: * project_id = 12345 AND status_code = 1 * project_id = 12345 AND sensitivity_level = HIGH * project_id = 12345 AND info_type = STREET_ADDRESS The length of this field should be no more than 500 characters. + orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Only one order field at a time is allowed. Examples: * `project_id asc` * `table_id` * `sensitivity_level desc` Supported fields are: - `project_id`: The Google Cloud project ID. - `dataset_id`: The ID of a BigQuery dataset. - `table_id`: The ID of a BigQuery table. - `sensitivity_level`: How sensitive the data in a column is, at most. - `data_risk_level`: How much risk is associated with this data. - `profile_last_generated`: When the profile was last updated in epoch seconds. + pageSize: integer, Size of the page. This value can be limited by the server. If zero, server returns a page of max size 100. + pageToken: string, Page token to continue retrieval. + x__xgafv: string, V1 error format. + Allowed values + 1 - v1 error format + 2 - v2 error format + +Returns: + An object of the form: + + { # List of profiles generated for a given organization or project. + "columnDataProfiles": [ # List of data profiles. + { # The profile for a scanned column within a table. + "column": "A String", # The name of the column. + "columnInfoType": { # The infoType details for this column. # If it's been determined this column can be identified as a single type, this will be set. Otherwise the column either has unidentifiable content or mixed types. + "estimatedPrevalence": 42, # Not populated for predicted infotypes. + "infoType": { # Type of information detected by the API. # The infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + "columnType": "A String", # The data type of a given column. + "dataRiskLevel": { # Score is a summary of all elements in the data profile. A higher number means more risk. # The data risk level for this column. + "score": "A String", # The score applied to the resource. + }, + "datasetId": "A String", # The BigQuery dataset ID. + "datasetLocation": "A String", # The BigQuery location where the dataset's data is stored. See https://cloud.google.com/bigquery/docs/locations for supported locations. + "datasetProjectId": "A String", # The Google Cloud project ID that owns the profiled resource. + "estimatedNullPercentage": "A String", # Approximate percentage of entries being null in the column. + "estimatedUniquenessScore": "A String", # Approximate uniqueness of the column. + "freeTextScore": 3.14, # The likelihood that this column contains free-form text. A value close to 1 may indicate the column is likely to contain free-form or natural language text. Range in 0-1. + "name": "A String", # The name of the profile. + "otherMatches": [ # Other types found within this column. List will be unordered. + { # Infotype details for other infoTypes found within a column. + "estimatedPrevalence": 42, # Approximate percentage of non-null rows that contained data detected by this infotype. + "excludedFromAnalysis": True or False, # Whether this infoType was excluded from sensitivity and risk analysis due to factors such as low prevalence (subject to change). + "infoType": { # Type of information detected by the API. # The other infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + ], + "policyState": "A String", # Indicates if a policy tag has been applied to the column. + "profileLastGenerated": "A String", # The last time the profile was generated. + "profileStatus": { # Success or errors for the profile generation. # Success or error status from the most recent profile generation attempt. May be empty if the profile is still being generated. + "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Profiling status code and optional message. The `status.code` value is 0 (default value) for OK. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamp": "A String", # Time when the profile generation status was updated + }, + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # The sensitivity of this column. + "score": "A String", # The sensitivity score applied to the resource. + }, + "state": "A String", # State of a profile. + "tableDataProfile": "A String", # The resource name of the table data profile. + "tableFullResource": "A String", # The resource name of the resource this column is within. + "tableId": "A String", # The BigQuery table ID. + }, + ], + "nextPageToken": "A String", # The next page token. +}+++ + \ No newline at end of file diff --git a/docs/dyn/dlp_v2.organizations.locations.deidentifyTemplates.html b/docs/dyn/dlp_v2.organizations.locations.deidentifyTemplates.html index 8d42e5895f..85d09e11c3 100644 --- a/docs/dyn/dlp_v2.organizations.locations.deidentifyTemplates.html +++ b/docs/dyn/dlp_v2.organizations.locations.deidentifyTemplates.html @@ -79,22 +79,22 @@list_next()+Retrieves the next page of results. + + Args: + previous_request: The request for the previous page. (required) + previous_response: The response from the request for the previous page. (required) + + Returns: + A request object that you can call 'execute()' on to request the next + page. Returns None if there are no more items in the collection. ++Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateDeidentifyTemplate. - "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Required. The DeidentifyTemplate to create. + "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Required. The DeidentifyTemplate to create. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -129,7 +129,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -145,7 +145,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -153,7 +153,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -232,7 +232,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -244,16 +244,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -265,13 +265,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -284,20 +284,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -311,7 +311,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -376,7 +376,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -438,7 +438,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -446,7 +446,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -525,7 +525,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -537,16 +537,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -558,13 +558,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -577,20 +577,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -604,7 +604,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -669,7 +669,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -685,7 +685,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -764,7 +764,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -776,16 +776,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -797,13 +797,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -816,20 +816,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -843,7 +843,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -908,7 +908,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -985,7 +985,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1003,7 +1003,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1019,7 +1019,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1027,7 +1027,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1106,7 +1106,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1118,16 +1118,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1139,13 +1139,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1158,20 +1158,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1185,7 +1185,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1250,7 +1250,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1312,7 +1312,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1320,7 +1320,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1399,7 +1399,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1411,16 +1411,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1432,13 +1432,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1451,20 +1451,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1478,7 +1478,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1543,7 +1543,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1559,7 +1559,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1638,7 +1638,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1650,16 +1650,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1671,13 +1671,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1690,20 +1690,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1717,7 +1717,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1782,7 +1782,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1851,7 +1851,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of the organization and deidentify template to be deleted, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -1869,7 +1869,7 @@Method Details
get(name, x__xgafv=None)-Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of the organization and deidentify template to be read, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -1881,7 +1881,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1899,7 +1899,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1915,7 +1915,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1923,7 +1923,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2002,7 +2002,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2014,16 +2014,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2035,13 +2035,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2054,20 +2054,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2081,7 +2081,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2146,7 +2146,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2208,7 +2208,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2216,7 +2216,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2295,7 +2295,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2307,16 +2307,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2328,13 +2328,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2347,20 +2347,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2374,7 +2374,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2439,7 +2439,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2455,7 +2455,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2534,7 +2534,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2546,16 +2546,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2567,13 +2567,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2586,20 +2586,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2613,7 +2613,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2678,7 +2678,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2747,10 +2747,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the template was created. - `update_time`: corresponds to the time the template was last updated. - `name`: corresponds to the template's name. - `display_name`: corresponds to the template's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -2765,7 +2765,7 @@Method Details
{ # Response message for ListDeidentifyTemplates. "deidentifyTemplates": [ # List of deidentify templates, up to page_size in ListDeidentifyTemplatesRequest. - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -2783,7 +2783,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2799,7 +2799,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2807,7 +2807,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2886,7 +2886,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2898,16 +2898,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2919,13 +2919,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2938,20 +2938,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2965,7 +2965,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3030,7 +3030,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3092,7 +3092,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3100,7 +3100,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3179,7 +3179,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3191,16 +3191,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3212,13 +3212,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3231,20 +3231,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3258,7 +3258,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3323,7 +3323,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3339,7 +3339,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3418,7 +3418,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3430,16 +3430,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3451,13 +3451,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3470,20 +3470,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3497,7 +3497,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3562,7 +3562,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3648,7 +3648,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of organization and deidentify template to be updated, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -3656,7 +3656,7 @@Method Details
The object takes the form of: { # Request message for UpdateDeidentifyTemplate. - "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # New DeidentifyTemplate value. + "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # New DeidentifyTemplate value. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -3674,7 +3674,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3690,7 +3690,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3698,7 +3698,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3777,7 +3777,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3789,16 +3789,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3810,13 +3810,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3829,20 +3829,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3856,7 +3856,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3921,7 +3921,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3983,7 +3983,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3991,7 +3991,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4070,7 +4070,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4082,16 +4082,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4103,13 +4103,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4122,20 +4122,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4149,7 +4149,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4214,7 +4214,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4230,7 +4230,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4309,7 +4309,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4321,16 +4321,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4342,13 +4342,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4361,20 +4361,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4388,7 +4388,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4453,7 +4453,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4529,7 +4529,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -4547,7 +4547,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4563,7 +4563,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4571,7 +4571,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4650,7 +4650,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4662,16 +4662,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4683,13 +4683,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4702,20 +4702,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4729,7 +4729,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4794,7 +4794,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4856,7 +4856,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4864,7 +4864,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4943,7 +4943,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4955,16 +4955,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4976,13 +4976,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4995,20 +4995,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5022,7 +5022,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5087,7 +5087,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5103,7 +5103,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5182,7 +5182,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5194,16 +5194,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5215,13 +5215,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5234,20 +5234,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5261,7 +5261,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5326,7 +5326,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], diff --git a/docs/dyn/dlp_v2.organizations.locations.discoveryConfigs.html b/docs/dyn/dlp_v2.organizations.locations.discoveryConfigs.html index a4dc9bb187..6035ca5de1 100644 --- a/docs/dyn/dlp_v2.organizations.locations.discoveryConfigs.html +++ b/docs/dyn/dlp_v2.organizations.locations.discoveryConfigs.html @@ -112,7 +112,7 @@Method Details
{ # Request message for CreateDiscoveryConfig. "configId": "A String", # The config ID can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: `[a-zA-Z\d-_]+`. The maximum length is 100 characters. Can be empty to allow the system to generate one. - "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). # Required. The DiscoveryConfig to create. + "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). # Required. The DiscoveryConfig to create. "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -158,7 +158,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -233,7 +233,7 @@Method Details
Returns: An object of the form: - { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). + { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -279,7 +279,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -378,7 +378,7 @@Method Details
Returns: An object of the form: - { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). + { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -424,7 +424,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -510,7 +510,7 @@Method Details
{ # Response message for ListDiscoveryConfigs. "discoveryConfigs": [ # List of configs, up to page_size in ListDiscoveryConfigsRequest. - { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). + { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -556,7 +556,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -650,7 +650,7 @@Method Details
The object takes the form of: { # Request message for UpdateDiscoveryConfig. - "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). # Required. New DiscoveryConfig value. + "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). # Required. New DiscoveryConfig value. "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -696,7 +696,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -772,7 +772,7 @@Method Details
Returns: An object of the form: - { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). + { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -818,7 +818,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. diff --git a/docs/dyn/dlp_v2.organizations.locations.dlpJobs.html b/docs/dyn/dlp_v2.organizations.locations.dlpJobs.html index 415dc2b9bf..1da749935b 100644 --- a/docs/dyn/dlp_v2.organizations.locations.dlpJobs.html +++ b/docs/dyn/dlp_v2.organizations.locations.dlpJobs.html @@ -79,7 +79,7 @@Instance Methods
Close httplib2 connections.
-Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
Retrieves the next page of results.
@@ -91,10 +91,10 @@Method Details
list(parent, filter=None, locationId=None, orderBy=None, pageSize=None, pageToken=None, type=None, x__xgafv=None)-Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values for inspect jobs: - `state` - PENDING|RUNNING|CANCELED|FINISHED|FAILED - `inspected_storage` - DATASTORE|CLOUD_STORAGE|BIGQUERY - `trigger_name` - The name of the trigger that created the job. - 'end_time` - Corresponds to the time the job finished. - 'start_time` - Corresponds to the time the job finished. * Supported fields for risk analysis jobs: - `state` - RUNNING|CANCELED|FINISHED|FAILED - 'end_time` - Corresponds to the time the job finished. - 'start_time` - Corresponds to the time the job finished. * The operator must be `=` or `!=`. Examples: * inspected_storage = cloud_storage AND state = done * inspected_storage = cloud_storage OR inspected_storage = bigquery * inspected_storage = cloud_storage AND (state = done OR state = canceled) * end_time > \"2017-12-12T00:00:00+00:00\" The length of this field should be no more than 500 characters. locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc, end_time asc, create_time desc` Supported fields are: - `create_time`: corresponds to the time the job was created. - `end_time`: corresponds to the time the job ended. - `name`: corresponds to the job's name. - `state`: corresponds to `state` @@ -125,7 +125,7 @@Method Details
"transformedBytes": "A String", # Total size in bytes that were transformed in some way. }, "requestedOptions": { # De-identification options. # De-identification config used for the request. - "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. + "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -143,7 +143,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -159,7 +159,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -167,7 +167,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -246,7 +246,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -258,16 +258,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -279,13 +279,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -298,20 +298,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -325,7 +325,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -390,7 +390,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -452,7 +452,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -460,7 +460,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -539,7 +539,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -551,16 +551,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -572,13 +572,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -591,20 +591,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -618,7 +618,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -683,7 +683,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -699,7 +699,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -778,7 +778,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -790,16 +790,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -811,13 +811,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -830,20 +830,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -857,7 +857,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -922,7 +922,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -987,7 +987,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1005,7 +1005,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1021,7 +1021,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1029,7 +1029,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1108,7 +1108,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1120,16 +1120,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1141,13 +1141,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1160,20 +1160,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1187,7 +1187,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1252,7 +1252,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1314,7 +1314,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1322,7 +1322,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1401,7 +1401,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1413,16 +1413,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1434,13 +1434,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1453,20 +1453,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1480,7 +1480,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1545,7 +1545,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1561,7 +1561,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1640,7 +1640,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1652,16 +1652,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1673,13 +1673,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1692,20 +1692,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1719,7 +1719,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1784,7 +1784,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1849,7 +1849,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1867,7 +1867,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1883,7 +1883,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1891,7 +1891,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1970,7 +1970,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1982,16 +1982,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2003,13 +2003,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2022,20 +2022,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2049,7 +2049,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2114,7 +2114,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2176,7 +2176,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2184,7 +2184,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2263,7 +2263,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2275,16 +2275,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2296,13 +2296,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2315,20 +2315,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2342,7 +2342,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2407,7 +2407,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2423,7 +2423,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2502,7 +2502,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2514,16 +2514,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2535,13 +2535,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2554,20 +2554,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2581,7 +2581,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2646,7 +2646,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2737,7 +2737,7 @@Method Details
"requestedOptions": { # Snapshot of the inspection configuration. # The configuration used for this job. "jobConfig": { # Controls what and how to inspect for findings. # Inspect config. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -2758,7 +2758,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -2783,7 +2783,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -2798,16 +2798,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2817,7 +2817,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2837,15 +2837,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2856,7 +2856,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2868,11 +2868,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2885,7 +2885,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2895,9 +2895,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2914,13 +2914,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2947,9 +2947,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -2976,7 +2976,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -2985,8 +2985,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -3034,13 +3034,13 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, }, }, - "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. + "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -3048,7 +3048,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -3063,16 +3063,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3082,7 +3082,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3102,15 +3102,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3121,7 +3121,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3133,11 +3133,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3150,7 +3150,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3160,9 +3160,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3179,13 +3179,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3212,9 +3212,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -3236,7 +3236,7 @@Method Details
{ # Statistics regarding a specific InfoType. "count": "A String", # Number of findings for this infoType. "infoType": { # Type of information detected by the API. # The type of finding this stat is for. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3517,9 +3517,9 @@Method Details
], }, "requestedOptions": { # Risk analysis options. # The configuration used for this job. - "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # The job config for the risk job. + "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # The job config for the risk job. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -3540,7 +3540,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -3597,7 +3597,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3649,7 +3649,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3718,7 +3718,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3770,7 +3770,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, diff --git a/docs/dyn/dlp_v2.organizations.locations.html b/docs/dyn/dlp_v2.organizations.locations.html index 12b694edd8..ffb466da18 100644 --- a/docs/dyn/dlp_v2.organizations.locations.html +++ b/docs/dyn/dlp_v2.organizations.locations.html @@ -74,6 +74,11 @@Sensitive Data Protection (DLP) . organizations . locations
Instance Methods
+ +Returns the columnDataProfiles Resource.
+ @@ -99,11 +104,21 @@Instance Methods
Returns the jobTriggers Resource.
+ +Returns the projectDataProfiles Resource.
+Returns the storedInfoTypes Resource.
+ +Returns the tableDataProfiles Resource.
+Close httplib2 connections.
diff --git a/docs/dyn/dlp_v2.organizations.locations.inspectTemplates.html b/docs/dyn/dlp_v2.organizations.locations.inspectTemplates.html index bd57354d5a..1a3802a20a 100644 --- a/docs/dyn/dlp_v2.organizations.locations.inspectTemplates.html +++ b/docs/dyn/dlp_v2.organizations.locations.inspectTemplates.html @@ -79,22 +79,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-Deletes an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Deletes an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-Gets an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Gets an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists InspectTemplates. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Lists InspectTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Updates the InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateInspectTemplate. - "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Required. The InspectTemplate to create. + "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Required. The InspectTemplate to create. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -119,7 +119,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -134,16 +134,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -153,7 +153,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -173,15 +173,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -192,7 +192,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -204,11 +204,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -221,7 +221,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -231,9 +231,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -250,13 +250,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -283,9 +283,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -308,7 +308,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -316,7 +316,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -331,16 +331,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -350,7 +350,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -370,15 +370,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -389,7 +389,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -401,11 +401,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -418,7 +418,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -428,9 +428,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -447,13 +447,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -480,9 +480,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -497,7 +497,7 @@Method Details
delete(name, x__xgafv=None)-Deletes an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Deletes an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of the organization and inspectTemplate to be deleted, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -515,7 +515,7 @@Method Details
get(name, x__xgafv=None)-Gets an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Gets an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of the organization and inspectTemplate to be read, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -527,7 +527,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -535,7 +535,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -550,16 +550,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -569,7 +569,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -589,15 +589,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -608,7 +608,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -620,11 +620,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -637,7 +637,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -647,9 +647,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -666,13 +666,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -699,9 +699,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -716,10 +716,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists InspectTemplates. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Lists InspectTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the template was created. - `update_time`: corresponds to the time the template was last updated. - `name`: corresponds to the template's name. - `display_name`: corresponds to the template's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -734,7 +734,7 @@Method Details
{ # Response message for ListInspectTemplates. "inspectTemplates": [ # List of inspectTemplates, up to page_size in ListInspectTemplatesRequest. - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -742,7 +742,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -757,16 +757,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -776,7 +776,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -796,15 +796,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -815,7 +815,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -827,11 +827,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -844,7 +844,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -854,9 +854,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -873,13 +873,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -906,9 +906,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -940,7 +940,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Updates the InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of organization and inspectTemplate to be updated, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -948,7 +948,7 @@Method Details
The object takes the form of: { # Request message for UpdateInspectTemplate. - "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # New InspectTemplate value. + "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # New InspectTemplate value. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -956,7 +956,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -971,16 +971,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -990,7 +990,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1010,15 +1010,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1029,7 +1029,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1041,11 +1041,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1058,7 +1058,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1068,9 +1068,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1087,13 +1087,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1120,9 +1120,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -1144,7 +1144,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -1152,7 +1152,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -1167,16 +1167,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1186,7 +1186,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1206,15 +1206,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1225,7 +1225,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1237,11 +1237,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1254,7 +1254,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1264,9 +1264,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1283,13 +1283,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1316,9 +1316,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, diff --git a/docs/dyn/dlp_v2.organizations.locations.jobTriggers.html b/docs/dyn/dlp_v2.organizations.locations.jobTriggers.html index 1eb4334fbf..15e5aa7386 100644 --- a/docs/dyn/dlp_v2.organizations.locations.jobTriggers.html +++ b/docs/dyn/dlp_v2.organizations.locations.jobTriggers.html @@ -79,22 +79,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
-Deletes a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Deletes a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
-Gets a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Gets a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
-Lists job triggers. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Lists job triggers. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Updates a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateJobTrigger. - "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. # Required. The JobTrigger to create. + "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. # Required. The JobTrigger to create. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -133,7 +133,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -154,7 +154,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -179,7 +179,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -194,16 +194,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -213,7 +213,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -233,15 +233,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -252,7 +252,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -264,11 +264,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -281,7 +281,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -291,9 +291,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -310,13 +310,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -343,9 +343,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -372,7 +372,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -381,8 +381,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -430,7 +430,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -462,7 +462,7 @@Method Details
Returns: An object of the form: - { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. + { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -484,7 +484,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -505,7 +505,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -530,7 +530,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -545,16 +545,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -564,7 +564,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -584,15 +584,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -603,7 +603,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -615,11 +615,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -632,7 +632,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -642,9 +642,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -661,13 +661,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -694,9 +694,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -723,7 +723,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -732,8 +732,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -781,7 +781,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -805,7 +805,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Deletes a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: name: string, Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. (required) @@ -823,7 +823,7 @@Method Details
get(name, x__xgafv=None)-Gets a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Gets a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: name: string, Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. (required) @@ -835,7 +835,7 @@Method Details
Returns: An object of the form: - { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. + { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -857,7 +857,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -878,7 +878,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -903,7 +903,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -918,16 +918,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -937,7 +937,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -957,15 +957,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -976,7 +976,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -988,11 +988,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1005,7 +1005,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1015,9 +1015,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1034,13 +1034,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1067,9 +1067,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -1096,7 +1096,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -1105,8 +1105,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -1154,7 +1154,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -1178,10 +1178,10 @@Method Details
list(parent, filter=None, locationId=None, orderBy=None, pageSize=None, pageToken=None, type=None, x__xgafv=None)-Lists job triggers. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Lists job triggers. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values for inspect triggers: - `status` - HEALTHY|PAUSED|CANCELLED - `inspected_storage` - DATASTORE|CLOUD_STORAGE|BIGQUERY - 'last_run_time` - RFC 3339 formatted timestamp, surrounded by quotation marks. Nanoseconds are ignored. - 'error_count' - Number of errors that have occurred while running. * The operator must be `=` or `!=` for status and inspected_storage. Examples: * inspected_storage = cloud_storage AND status = HEALTHY * inspected_storage = cloud_storage OR inspected_storage = bigquery * inspected_storage = cloud_storage AND (state = PAUSED OR state = HEALTHY) * last_run_time > \"2017-12-12T00:00:00+00:00\" The length of this field should be no more than 500 characters. locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of triggeredJob fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the JobTrigger was created. - `update_time`: corresponds to the time the JobTrigger was last updated. - `last_run_time`: corresponds to the last time the JobTrigger ran. - `name`: corresponds to the JobTrigger's name. - `display_name`: corresponds to the JobTrigger's display name. - `status`: corresponds to JobTrigger's status. @@ -1202,7 +1202,7 @@Method Details
{ # Response message for ListJobTriggers. "jobTriggers": [ # List of triggeredJobs, up to page_size in ListJobTriggersRequest. - { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. + { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -1224,7 +1224,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -1245,7 +1245,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -1270,7 +1270,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -1285,16 +1285,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1304,7 +1304,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1324,15 +1324,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1343,7 +1343,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1355,11 +1355,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1372,7 +1372,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1382,9 +1382,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1401,13 +1401,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1434,9 +1434,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -1463,7 +1463,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -1472,8 +1472,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -1521,7 +1521,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -1562,7 +1562,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Updates a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: name: string, Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. (required) @@ -1570,7 +1570,7 @@Method Details
The object takes the form of: { # Request message for UpdateJobTrigger. - "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. # New JobTrigger value. + "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. # New JobTrigger value. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -1592,7 +1592,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -1613,7 +1613,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -1638,7 +1638,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -1653,16 +1653,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1672,7 +1672,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1692,15 +1692,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1711,7 +1711,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1723,11 +1723,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1740,7 +1740,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1750,9 +1750,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1769,13 +1769,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1802,9 +1802,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -1831,7 +1831,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -1840,8 +1840,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -1889,7 +1889,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -1920,7 +1920,7 @@Method Details
Returns: An object of the form: - { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. + { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -1942,7 +1942,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -1963,7 +1963,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -1988,7 +1988,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -2003,16 +2003,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2022,7 +2022,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2042,15 +2042,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2061,7 +2061,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2073,11 +2073,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2090,7 +2090,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2100,9 +2100,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2119,13 +2119,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2152,9 +2152,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -2181,7 +2181,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -2190,8 +2190,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -2239,7 +2239,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, diff --git a/docs/dyn/dlp_v2.organizations.locations.projectDataProfiles.html b/docs/dyn/dlp_v2.organizations.locations.projectDataProfiles.html new file mode 100644 index 0000000000..1296bcc8a6 --- /dev/null +++ b/docs/dyn/dlp_v2.organizations.locations.projectDataProfiles.html @@ -0,0 +1,196 @@ + + + +Sensitive Data Protection (DLP) . organizations . locations . projectDataProfiles
+Instance Methods
++
+close()Close httplib2 connections.
+ +Gets a project data profile.
++
+list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists data profiles for an organization.
+ +Retrieves the next page of results.
+Method Details
+++ +close()+Close httplib2 connections.+++ +get(name, x__xgafv=None)+Gets a project data profile. + +Args: + name: string, Required. Resource name, for example `organizations/12345/locations/us/projectDataProfiles/53234423`. (required) + x__xgafv: string, V1 error format. + Allowed values + 1 - v1 error format + 2 - v2 error format + +Returns: + An object of the form: + + { # An aggregated profile for this project, based on the resources profiled within it. + "dataRiskLevel": { # Score is a summary of all elements in the data profile. A higher number means more risk. # The data risk level of this project. + "score": "A String", # The score applied to the resource. + }, + "name": "A String", # The resource name of the profile. + "profileLastGenerated": "A String", # The last time the profile was generated. + "profileStatus": { # Success or errors for the profile generation. # Success or error status of the last attempt to profile the project. + "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Profiling status code and optional message. The `status.code` value is 0 (default value) for OK. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamp": "A String", # Time when the profile generation status was updated + }, + "projectId": "A String", # Project ID that was profiled. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # The sensitivity score of this project. + "score": "A String", # The sensitivity score applied to the resource. + }, +}+++ +list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)+Lists data profiles for an organization. + +Args: + parent: string, Required. organizations/{org_id}/locations/{loc_id} (required) + filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values: - `sensitivity_level` - HIGH|MODERATE|LOW - `data_risk_level` - HIGH|MODERATE|LOW - `status_code` - an RPC status code as defined in https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto * The operator must be `=` or `!=`. Examples: * project_id = 12345 AND status_code = 1 * project_id = 12345 AND sensitivity_level = HIGH The length of this field should be no more than 500 characters. + orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Only one order field at a time is allowed. Examples: * `project_id` * `sensitivity_level desc` Supported fields are: - `project_id`: GCP project ID - `sensitivity_level`: How sensitive the data in a project is, at most. - `data_risk_level`: How much risk is associated with this data. - `profile_last_generated`: When the profile was last updated in epoch seconds. + pageSize: integer, Size of the page. This value can be limited by the server. If zero, server returns a page of max size 100. + pageToken: string, Page token to continue retrieval. + x__xgafv: string, V1 error format. + Allowed values + 1 - v1 error format + 2 - v2 error format + +Returns: + An object of the form: + + { # List of profiles generated for a given organization or project. + "nextPageToken": "A String", # The next page token. + "projectDataProfiles": [ # List of data profiles. + { # An aggregated profile for this project, based on the resources profiled within it. + "dataRiskLevel": { # Score is a summary of all elements in the data profile. A higher number means more risk. # The data risk level of this project. + "score": "A String", # The score applied to the resource. + }, + "name": "A String", # The resource name of the profile. + "profileLastGenerated": "A String", # The last time the profile was generated. + "profileStatus": { # Success or errors for the profile generation. # Success or error status of the last attempt to profile the project. + "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Profiling status code and optional message. The `status.code` value is 0 (default value) for OK. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamp": "A String", # Time when the profile generation status was updated + }, + "projectId": "A String", # Project ID that was profiled. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # The sensitivity score of this project. + "score": "A String", # The sensitivity score applied to the resource. + }, + }, + ], +}+++ + \ No newline at end of file diff --git a/docs/dyn/dlp_v2.organizations.locations.storedInfoTypes.html b/docs/dyn/dlp_v2.organizations.locations.storedInfoTypes.html index 0f9d588390..8079a0c649 100644 --- a/docs/dyn/dlp_v2.organizations.locations.storedInfoTypes.html +++ b/docs/dyn/dlp_v2.organizations.locations.storedInfoTypes.html @@ -79,22 +79,22 @@list_next()+Retrieves the next page of results. + + Args: + previous_request: The request for the previous page. (required) + previous_response: The response from the request for the previous page. (required) + + Returns: + A request object that you can call 'execute()' on to request the next + page. Returns None if there are no more items in the collection. ++Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
-Deletes a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Deletes a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
-Gets a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Gets a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists stored infoTypes. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Lists stored infoTypes. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
Method Details
close()@@ -103,19 +103,19 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateStoredInfoType. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # Required. Configuration of the storedInfoType to create. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # Required. Configuration of the storedInfoType to create. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -124,7 +124,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -139,7 +139,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -163,11 +163,11 @@Method Details
{ # StoredInfoType resource message that contains information about the current version and any pending updates. "currentVersion": { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. # Current version of the stored info type. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -176,7 +176,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -191,7 +191,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -228,11 +228,11 @@Method Details
"name": "A String", # Resource name. "pendingVersions": [ # Pending versions of the stored info type. Empty if no versions are pending. { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -241,7 +241,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -256,7 +256,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -296,7 +296,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Deletes a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: name: string, Required. Resource name of the organization and storedInfoType to be deleted, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. (required) @@ -314,7 +314,7 @@Method Details
get(name, x__xgafv=None)-Gets a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Gets a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: name: string, Required. Resource name of the organization and storedInfoType to be read, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. (required) @@ -328,11 +328,11 @@Method Details
{ # StoredInfoType resource message that contains information about the current version and any pending updates. "currentVersion": { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. # Current version of the stored info type. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -341,7 +341,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -356,7 +356,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -393,11 +393,11 @@Method Details
"name": "A String", # Resource name. "pendingVersions": [ # Pending versions of the stored info type. Empty if no versions are pending. { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -406,7 +406,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -421,7 +421,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -461,10 +461,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists stored infoTypes. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Lists stored infoTypes. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc, display_name, create_time desc` Supported fields are: - `create_time`: corresponds to the time the most recent version of the resource was created. - `state`: corresponds to the state of the resource. - `name`: corresponds to resource name. - `display_name`: corresponds to info type's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -482,11 +482,11 @@Method Details
"storedInfoTypes": [ # List of storedInfoTypes, up to page_size in ListStoredInfoTypesRequest. { # StoredInfoType resource message that contains information about the current version and any pending updates. "currentVersion": { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. # Current version of the stored info type. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -495,7 +495,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -510,7 +510,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -547,11 +547,11 @@Method Details
"name": "A String", # Resource name. "pendingVersions": [ # Pending versions of the stored info type. Empty if no versions are pending. { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -560,7 +560,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -575,7 +575,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -631,7 +631,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: name: string, Required. Resource name of organization and storedInfoType to be updated, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. (required) @@ -639,11 +639,11 @@Method Details
The object takes the form of: { # Request message for UpdateStoredInfoType. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # Updated configuration for the storedInfoType. If not provided, a new version of the storedInfoType will be created with the existing configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # Updated configuration for the storedInfoType. If not provided, a new version of the storedInfoType will be created with the existing configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -652,7 +652,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -667,7 +667,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -690,11 +690,11 @@Method Details
{ # StoredInfoType resource message that contains information about the current version and any pending updates. "currentVersion": { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. # Current version of the stored info type. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -703,7 +703,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -718,7 +718,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -755,11 +755,11 @@Method Details
"name": "A String", # Resource name. "pendingVersions": [ # Pending versions of the stored info type. Empty if no versions are pending. { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -768,7 +768,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -783,7 +783,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. diff --git a/docs/dyn/dlp_v2.organizations.locations.tableDataProfiles.html b/docs/dyn/dlp_v2.organizations.locations.tableDataProfiles.html new file mode 100644 index 0000000000..88e144aa1d --- /dev/null +++ b/docs/dyn/dlp_v2.organizations.locations.tableDataProfiles.html @@ -0,0 +1,948 @@ + + + +Sensitive Data Protection (DLP) . organizations . locations . tableDataProfiles
+Instance Methods
++
+close()Close httplib2 connections.
+ +Gets a table data profile.
++
+list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists data profiles for an organization.
+ +Retrieves the next page of results.
+Method Details
+++ +close()+Close httplib2 connections.+++ +get(name, x__xgafv=None)+Gets a table data profile. + +Args: + name: string, Required. Resource name, for example `organizations/12345/locations/us/tableDataProfiles/53234423`. (required) + x__xgafv: string, V1 error format. + Allowed values + 1 - v1 error format + 2 - v2 error format + +Returns: + An object of the form: + + { # The profile for a scanned table. + "configSnapshot": { # Snapshot of the configurations used to generate the profile. # The snapshot of the configurations used to generate the profile. + "dataProfileJob": { # Configuration for setting up a job to scan resources for profile generation. Only one data profile configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). # A copy of the configuration used to generate this profile. This is deprecated, and the DiscoveryConfig field is preferred moving forward. DataProfileJobConfig will still be written here for Discovery in BigQuery for backwards compatibility, but will not be updated with new fields, while DiscoveryConfig will. + "dataProfileActions": [ # Actions to execute at the completion of the job. + { # A task to execute when a data profile has been generated. + "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. + "profileTable": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Store all table and column profiles in an existing table or a new table in an existing dataset. Each re-generation will result in a new row in BigQuery. + "datasetId": "A String", # Dataset ID of the table. + "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call. + "tableId": "A String", # Name of the table. + }, + }, + "pubSubNotification": { # Send a Pub/Sub message into the given Pub/Sub topic to connect other systems to data profile generation. The message payload data will be the byte serialization of `DataProfilePubSubMessage`. # Publish a message into the Pub/Sub topic. + "detailOfMessage": "A String", # How much data to include in the Pub/Sub message. If the user wishes to limit the size of the message, they can use resource_name and fetch the profile fields they wish to. Per table profile (not per column). + "event": "A String", # The type of event that triggers a Pub/Sub. At most one `PubSubNotification` per EventType is permitted. + "pubsubCondition": { # A condition for determining whether a Pub/Sub should be triggered. # Conditions (e.g., data risk or sensitivity level) for triggering a Pub/Sub. + "expressions": { # An expression, consisting of an operator and conditions. # An expression. + "conditions": [ # Conditions to apply to the expression. + { # A condition consisting of a value. + "minimumRiskScore": "A String", # The minimum data risk score that triggers the condition. + "minimumSensitivityScore": "A String", # The minimum sensitivity level that triggers the condition. + }, + ], + "logicalOperator": "A String", # The operator to apply to the collection of conditions. + }, + }, + "topic": "A String", # Cloud Pub/Sub topic to send notifications to. Format is projects/{project}/topics/{topic}. + }, + }, + ], + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by profiles. FindingLimits, include_quote and exclude_info_types have no impact on data profiling. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. + "A String", + ], + "location": { # The data that will be profiled. # The data to scan. + "folderId": "A String", # The ID of the Folder within an organization to scan. + "organizationId": "A String", # The ID of an organization to scan. + }, + "projectId": "A String", # The project that will run the scan. The DLP service account that exists within this project must have access to all resources that are profiled, and the Cloud DLP API must be enabled. + }, + "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). # A copy of the configuration used to generate this profile. + "actions": [ # Actions to execute at the completion of scanning. + { # A task to execute when a data profile has been generated. + "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. + "profileTable": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Store all table and column profiles in an existing table or a new table in an existing dataset. Each re-generation will result in a new row in BigQuery. + "datasetId": "A String", # Dataset ID of the table. + "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call. + "tableId": "A String", # Name of the table. + }, + }, + "pubSubNotification": { # Send a Pub/Sub message into the given Pub/Sub topic to connect other systems to data profile generation. The message payload data will be the byte serialization of `DataProfilePubSubMessage`. # Publish a message into the Pub/Sub topic. + "detailOfMessage": "A String", # How much data to include in the Pub/Sub message. If the user wishes to limit the size of the message, they can use resource_name and fetch the profile fields they wish to. Per table profile (not per column). + "event": "A String", # The type of event that triggers a Pub/Sub. At most one `PubSubNotification` per EventType is permitted. + "pubsubCondition": { # A condition for determining whether a Pub/Sub should be triggered. # Conditions (e.g., data risk or sensitivity level) for triggering a Pub/Sub. + "expressions": { # An expression, consisting of an operator and conditions. # An expression. + "conditions": [ # Conditions to apply to the expression. + { # A condition consisting of a value. + "minimumRiskScore": "A String", # The minimum data risk score that triggers the condition. + "minimumSensitivityScore": "A String", # The minimum sensitivity level that triggers the condition. + }, + ], + "logicalOperator": "A String", # The operator to apply to the collection of conditions. + }, + }, + "topic": "A String", # Cloud Pub/Sub topic to send notifications to. Format is projects/{project}/topics/{topic}. + }, + }, + ], + "createTime": "A String", # Output only. The creation timestamp of a DiscoveryConfig. + "displayName": "A String", # Display name (max 100 chars) + "errors": [ # Output only. A stream of errors encountered when the config was activated. Repeated errors may result in the config automatically being paused. Output only field. Will return the last 100 errors. Whenever the config is modified this list will be cleared. + { # Details information about an error encountered during job execution or the results of an unsuccessful activation of the JobTrigger. + "details": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Detailed error codes and messages. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamps": [ # The times the error occurred. List includes the oldest timestamp and the last 9 timestamps. + "A String", + ], + }, + ], + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. + "A String", + ], + "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. + "name": "A String", # Unique resource name for the DiscoveryConfig, assigned by the service when the DiscoveryConfig is created, for example `projects/dlp-test-project/locations/global/discoveryConfigs/53234423`. + "orgConfig": { # Project and scan location information. Only set when the parent is an org. # Only set when the parent is an org. + "location": { # The location to begin a discovery scan. Denotes an organization ID or folder ID within an organization. # The data to scan: folder, org, or project + "folderId": "A String", # The ID of the Folder within an organization to scan. + "organizationId": "A String", # The ID of an organization to scan. + }, + "projectId": "A String", # The project that will run the scan. The DLP service account that exists within this project must have access to all resources that are profiled, and the Cloud DLP API must be enabled. + }, + "status": "A String", # Required. A status for this configuration. + "targets": [ # Target to match against for determining what to scan and how frequently. + { # Target used to match against for Discovery. + "bigQueryTarget": { # Target used to match against for discovery with BigQuery tables # BigQuery target for Discovery. The first target to match a table will be the one applied. + "cadence": { # What must take place for a profile to be updated and how frequently it should occur. New tables are scanned as quickly as possible depending on system capacity. # How often and when to update profiles. New tables that match both the filter and conditions are scanned as quickly as possible depending on system capacity. + "schemaModifiedCadence": { # The cadence at which to update data profiles when a schema is modified. # Governs when to update data profiles when a schema is modified. + "frequency": "A String", # How frequently profiles may be updated when schemas are modified. Defaults to monthly. + "types": [ # The type of events to consider when deciding if the table's schema has been modified and should have the profile updated. Defaults to NEW_COLUMNS. + "A String", + ], + }, + "tableModifiedCadence": { # The cadence at which to update data profiles when a table is modified. # Governs when to update data profiles when a table is modified. + "frequency": "A String", # How frequently data profiles can be updated when tables are modified. Defaults to never. + "types": [ # The type of events to consider when deciding if the table has been modified and should have the profile updated. Defaults to MODIFIED_TIMESTAMP. + "A String", + ], + }, + }, + "conditions": { # Requirements that must be true before a table is scanned in discovery for the first time. There is an AND relationship between the top-level attributes. Additionally, minimum conditions with an OR relationship that must be met before Cloud DLP scans a table can be set (like a minimum row count or a minimum table age). # In addition to matching the filter, these conditions must be true before a profile is generated. + "createdAfter": "A String", # BigQuery table must have been created after this date. Used to avoid backfilling. + "orConditions": { # There is an OR relationship between these attributes. They are used to determine if a table should be scanned or not in Discovery. # At least one of the conditions must be true for a table to be scanned. + "minAge": "A String", # Minimum age a table must have before Cloud DLP can profile it. Value must be 1 hour or greater. + "minRowCount": 42, # Minimum number of rows that should be present before Cloud DLP profiles a table + }, + "typeCollection": "A String", # Restrict discovery to categories of table types. + "types": { # The types of BigQuery tables supported by Cloud DLP. # Restrict discovery to specific table types. + "types": [ # A set of BigQuery table types. + "A String", + ], + }, + }, + "disabled": { # Do not profile the tables. # Tables that match this filter will not have profiles created. + }, + "filter": { # Determines what tables will have profiles generated within an organization or project. Includes the ability to filter by regular expression patterns on project ID, dataset ID, and table ID. # Required. The tables the discovery cadence applies to. The first target with a matching filter will be the one to apply to a table. + "otherTables": { # Catch-all for all other tables not specified by other filters. Should always be last, except for single-table configurations, which will only have a TableReference target. # Catch-all. This should always be the last filter in the list because anything above it will apply first. Should only appear once in a configuration. If none is specified, a default one will be added automatically. + }, + "tables": { # Specifies a collection of BigQuery tables. Used for Discovery. # A specific set of tables for this filter to apply to. A table collection must be specified in only one filter per config. If a table id or dataset is empty, Cloud DLP assumes all tables in that collection must be profiled. Must specify a project ID. + "includeRegexes": { # A collection of regular expressions to determine what tables to match against. # A collection of regular expressions to match a BigQuery table against. + "patterns": [ # A single BigQuery regular expression pattern to match against one or more tables, datasets, or projects that contain BigQuery tables. + { # A pattern to match against one or more tables, datasets, or projects that contain BigQuery tables. At least one pattern must be specified. Regular expressions use RE2 [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found under the google/re2 repository on GitHub. + "datasetIdRegex": "A String", # If unset, this property matches all datasets. + "projectIdRegex": "A String", # For organizations, if unset, will match all projects. Has no effect for data profile configurations created within a project. + "tableIdRegex": "A String", # If unset, this property matches all tables. + }, + ], + }, + }, + }, + }, + }, + ], + "updateTime": "A String", # Output only. The last update timestamp of a DiscoveryConfig. + }, + "inspectConfig": { # Configuration description of the scanning process. When used with redactContent only info_types and min_likelihood are currently used. # A copy of the inspection config used to generate this profile. This is a copy of the inspect_template specified in `DataProfileJobConfig`. + "contentOptions": [ # Deprecated and unused. + "A String", + ], + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. + { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. + "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. + { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. + "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule. + "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings. + "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. + "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. + }, + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowAfter": 42, # Number of characters after the finding to consider. + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + }, + }, + }, + ], + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` + }, + "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. + "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] + "A String", + ], + }, + }, + "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. + "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to `VERY_LIKELY` if not specified. + "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in `InspectDataSource`. Not currently supported in `InspectContent`. + "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. + "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. + }, + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + }, + }, + ], + "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. + "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + { # Type of information detected by the API. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + ], + "limits": { # Configuration to control the number of findings returned for inspection. This is not used for de-identification or data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. # Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values. + "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. + { # Max findings configuration per infoType, per content item or long running DlpJob. + "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + "maxFindings": 42, # Max findings limit for the given infoType. + }, + ], + "maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. + "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. + }, + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). + "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. + { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. + "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. This field is required or else the configuration fails. + }, + ], + "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type. + { # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. + "infoTypes": [ # List of infoTypes this rule set is applied to. + { # Type of information detected by the API. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + ], + "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. + { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. + "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` + }, + "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. + "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] + "A String", + ], + }, + }, + "excludeByHotword": { # The rule to exclude findings based on a hotword. For record inspection of tables, column names are considered hotwords. An example of this is to exclude a finding if it belongs to a BigQuery column that matches a specific pattern. # Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name. + "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. + "windowAfter": 42, # Number of characters after the finding to consider. + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + }, + }, + "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. + "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. + { # Type of information detected by the API. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + ], + }, + "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details. + "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + }, + "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule. + "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings. + "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. + "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. + }, + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowAfter": 42, # Number of characters after the finding to consider. + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + }, + }, + }, + ], + }, + ], + }, + "inspectTemplateModifiedTime": "A String", # Timestamp when the template was modified + "inspectTemplateName": "A String", # Name of the inspection template used to generate this profile + }, + "createTime": "A String", # The time at which the table was created. + "dataRiskLevel": { # Score is a summary of all elements in the data profile. A higher number means more risk. # The data risk level of this table. + "score": "A String", # The score applied to the resource. + }, + "dataSourceType": { # Message used to identify the type of resource being profiled. # The resource type that was profiled. + "dataSource": "A String", # Output only. An identifying string to the type of resource being profiled. Current values: google/bigquery/table, google/project + }, + "datasetId": "A String", # If the resource is BigQuery, the dataset ID. + "datasetLocation": "A String", # If supported, the location where the dataset's data is stored. See https://cloud.google.com/bigquery/docs/locations for supported locations. + "datasetProjectId": "A String", # The Google Cloud project ID that owns the resource. + "encryptionStatus": "A String", # How the table is encrypted. + "expirationTime": "A String", # Optional. The time when this table expires. + "failedColumnCount": "A String", # The number of columns skipped in the table because of an error. + "fullResource": "A String", # The resource name of the resource profiled. https://cloud.google.com/apis/design/resource_names#full_resource_name + "lastModifiedTime": "A String", # The time when this table was last modified + "name": "A String", # The name of the profile. + "otherInfoTypes": [ # Other infoTypes found in this table's data. + { # Infotype details for other infoTypes found within a column. + "estimatedPrevalence": 42, # Approximate percentage of non-null rows that contained data detected by this infotype. + "excludedFromAnalysis": True or False, # Whether this infoType was excluded from sensitivity and risk analysis due to factors such as low prevalence (subject to change). + "infoType": { # Type of information detected by the API. # The other infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + ], + "predictedInfoTypes": [ # The infoTypes predicted from this table's data. + { # The infoType details for this column. + "estimatedPrevalence": 42, # Not populated for predicted infotypes. + "infoType": { # Type of information detected by the API. # The infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + ], + "profileLastGenerated": "A String", # The last time the profile was generated. + "profileStatus": { # Success or errors for the profile generation. # Success or error status from the most recent profile generation attempt. May be empty if the profile is still being generated. + "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Profiling status code and optional message. The `status.code` value is 0 (default value) for OK. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamp": "A String", # Time when the profile generation status was updated + }, + "projectDataProfile": "A String", # The resource name to the project data profile for this table. + "resourceLabels": { # The labels applied to the resource at the time the profile was generated. + "a_key": "A String", + }, + "resourceVisibility": "A String", # How broadly a resource has been shared. + "rowCount": "A String", # Number of rows in the table when the profile was generated. This will not be populated for BigLake tables. + "scannedColumnCount": "A String", # The number of columns profiled in the table. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # The sensitivity score of this table. + "score": "A String", # The sensitivity score applied to the resource. + }, + "state": "A String", # State of a profile. + "tableId": "A String", # If the resource is BigQuery, the BigQuery table ID. + "tableSizeBytes": "A String", # The size of the table when the profile was generated. +}+++ +list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)+Lists data profiles for an organization. + +Args: + parent: string, Required. Resource name of the organization or project, for example `organizations/433245324/locations/europe` or `projects/project-id/locations/asia`. (required) + filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values: - `project_id` - The GCP project ID. - `dataset_id` - The BigQuery dataset ID. - `table_id` - The ID of the BigQuery table. - `sensitivity_level` - HIGH|MODERATE|LOW - `data_risk_level` - HIGH|MODERATE|LOW - `resource_visibility`: PUBLIC|RESTRICTED - `status_code` - an RPC status code as defined in https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto * The operator must be `=` or `!=`. Examples: * project_id = 12345 AND status_code = 1 * project_id = 12345 AND sensitivity_level = HIGH * project_id = 12345 AND resource_visibility = PUBLIC The length of this field should be no more than 500 characters. + orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Only one order field at a time is allowed. Examples: * `project_id asc` * `table_id` * `sensitivity_level desc` Supported fields are: - `project_id`: The GCP project ID. - `dataset_id`: The ID of a BigQuery dataset. - `table_id`: The ID of a BigQuery table. - `sensitivity_level`: How sensitive the data in a table is, at most. - `data_risk_level`: How much risk is associated with this data. - `profile_last_generated`: When the profile was last updated in epoch seconds. - `last_modified`: The last time the resource was modified. - `resource_visibility`: Visibility restriction for this resource. - `row_count`: Number of rows in this resource. + pageSize: integer, Size of the page. This value can be limited by the server. If zero, server returns a page of max size 100. + pageToken: string, Page token to continue retrieval. + x__xgafv: string, V1 error format. + Allowed values + 1 - v1 error format + 2 - v2 error format + +Returns: + An object of the form: + + { # List of profiles generated for a given organization or project. + "nextPageToken": "A String", # The next page token. + "tableDataProfiles": [ # List of data profiles. + { # The profile for a scanned table. + "configSnapshot": { # Snapshot of the configurations used to generate the profile. # The snapshot of the configurations used to generate the profile. + "dataProfileJob": { # Configuration for setting up a job to scan resources for profile generation. Only one data profile configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). # A copy of the configuration used to generate this profile. This is deprecated, and the DiscoveryConfig field is preferred moving forward. DataProfileJobConfig will still be written here for Discovery in BigQuery for backwards compatibility, but will not be updated with new fields, while DiscoveryConfig will. + "dataProfileActions": [ # Actions to execute at the completion of the job. + { # A task to execute when a data profile has been generated. + "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. + "profileTable": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Store all table and column profiles in an existing table or a new table in an existing dataset. Each re-generation will result in a new row in BigQuery. + "datasetId": "A String", # Dataset ID of the table. + "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call. + "tableId": "A String", # Name of the table. + }, + }, + "pubSubNotification": { # Send a Pub/Sub message into the given Pub/Sub topic to connect other systems to data profile generation. The message payload data will be the byte serialization of `DataProfilePubSubMessage`. # Publish a message into the Pub/Sub topic. + "detailOfMessage": "A String", # How much data to include in the Pub/Sub message. If the user wishes to limit the size of the message, they can use resource_name and fetch the profile fields they wish to. Per table profile (not per column). + "event": "A String", # The type of event that triggers a Pub/Sub. At most one `PubSubNotification` per EventType is permitted. + "pubsubCondition": { # A condition for determining whether a Pub/Sub should be triggered. # Conditions (e.g., data risk or sensitivity level) for triggering a Pub/Sub. + "expressions": { # An expression, consisting of an operator and conditions. # An expression. + "conditions": [ # Conditions to apply to the expression. + { # A condition consisting of a value. + "minimumRiskScore": "A String", # The minimum data risk score that triggers the condition. + "minimumSensitivityScore": "A String", # The minimum sensitivity level that triggers the condition. + }, + ], + "logicalOperator": "A String", # The operator to apply to the collection of conditions. + }, + }, + "topic": "A String", # Cloud Pub/Sub topic to send notifications to. Format is projects/{project}/topics/{topic}. + }, + }, + ], + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by profiles. FindingLimits, include_quote and exclude_info_types have no impact on data profiling. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. + "A String", + ], + "location": { # The data that will be profiled. # The data to scan. + "folderId": "A String", # The ID of the Folder within an organization to scan. + "organizationId": "A String", # The ID of an organization to scan. + }, + "projectId": "A String", # The project that will run the scan. The DLP service account that exists within this project must have access to all resources that are profiled, and the Cloud DLP API must be enabled. + }, + "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). # A copy of the configuration used to generate this profile. + "actions": [ # Actions to execute at the completion of scanning. + { # A task to execute when a data profile has been generated. + "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. + "profileTable": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Store all table and column profiles in an existing table or a new table in an existing dataset. Each re-generation will result in a new row in BigQuery. + "datasetId": "A String", # Dataset ID of the table. + "projectId": "A String", # The Google Cloud Platform project ID of the project containing the table. If omitted, project ID is inferred from the API call. + "tableId": "A String", # Name of the table. + }, + }, + "pubSubNotification": { # Send a Pub/Sub message into the given Pub/Sub topic to connect other systems to data profile generation. The message payload data will be the byte serialization of `DataProfilePubSubMessage`. # Publish a message into the Pub/Sub topic. + "detailOfMessage": "A String", # How much data to include in the Pub/Sub message. If the user wishes to limit the size of the message, they can use resource_name and fetch the profile fields they wish to. Per table profile (not per column). + "event": "A String", # The type of event that triggers a Pub/Sub. At most one `PubSubNotification` per EventType is permitted. + "pubsubCondition": { # A condition for determining whether a Pub/Sub should be triggered. # Conditions (e.g., data risk or sensitivity level) for triggering a Pub/Sub. + "expressions": { # An expression, consisting of an operator and conditions. # An expression. + "conditions": [ # Conditions to apply to the expression. + { # A condition consisting of a value. + "minimumRiskScore": "A String", # The minimum data risk score that triggers the condition. + "minimumSensitivityScore": "A String", # The minimum sensitivity level that triggers the condition. + }, + ], + "logicalOperator": "A String", # The operator to apply to the collection of conditions. + }, + }, + "topic": "A String", # Cloud Pub/Sub topic to send notifications to. Format is projects/{project}/topics/{topic}. + }, + }, + ], + "createTime": "A String", # Output only. The creation timestamp of a DiscoveryConfig. + "displayName": "A String", # Display name (max 100 chars) + "errors": [ # Output only. A stream of errors encountered when the config was activated. Repeated errors may result in the config automatically being paused. Output only field. Will return the last 100 errors. Whenever the config is modified this list will be cleared. + { # Details information about an error encountered during job execution or the results of an unsuccessful activation of the JobTrigger. + "details": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Detailed error codes and messages. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamps": [ # The times the error occurred. List includes the oldest timestamp and the last 9 timestamps. + "A String", + ], + }, + ], + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. + "A String", + ], + "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. + "name": "A String", # Unique resource name for the DiscoveryConfig, assigned by the service when the DiscoveryConfig is created, for example `projects/dlp-test-project/locations/global/discoveryConfigs/53234423`. + "orgConfig": { # Project and scan location information. Only set when the parent is an org. # Only set when the parent is an org. + "location": { # The location to begin a discovery scan. Denotes an organization ID or folder ID within an organization. # The data to scan: folder, org, or project + "folderId": "A String", # The ID of the Folder within an organization to scan. + "organizationId": "A String", # The ID of an organization to scan. + }, + "projectId": "A String", # The project that will run the scan. The DLP service account that exists within this project must have access to all resources that are profiled, and the Cloud DLP API must be enabled. + }, + "status": "A String", # Required. A status for this configuration. + "targets": [ # Target to match against for determining what to scan and how frequently. + { # Target used to match against for Discovery. + "bigQueryTarget": { # Target used to match against for discovery with BigQuery tables # BigQuery target for Discovery. The first target to match a table will be the one applied. + "cadence": { # What must take place for a profile to be updated and how frequently it should occur. New tables are scanned as quickly as possible depending on system capacity. # How often and when to update profiles. New tables that match both the filter and conditions are scanned as quickly as possible depending on system capacity. + "schemaModifiedCadence": { # The cadence at which to update data profiles when a schema is modified. # Governs when to update data profiles when a schema is modified. + "frequency": "A String", # How frequently profiles may be updated when schemas are modified. Defaults to monthly. + "types": [ # The type of events to consider when deciding if the table's schema has been modified and should have the profile updated. Defaults to NEW_COLUMNS. + "A String", + ], + }, + "tableModifiedCadence": { # The cadence at which to update data profiles when a table is modified. # Governs when to update data profiles when a table is modified. + "frequency": "A String", # How frequently data profiles can be updated when tables are modified. Defaults to never. + "types": [ # The type of events to consider when deciding if the table has been modified and should have the profile updated. Defaults to MODIFIED_TIMESTAMP. + "A String", + ], + }, + }, + "conditions": { # Requirements that must be true before a table is scanned in discovery for the first time. There is an AND relationship between the top-level attributes. Additionally, minimum conditions with an OR relationship that must be met before Cloud DLP scans a table can be set (like a minimum row count or a minimum table age). # In addition to matching the filter, these conditions must be true before a profile is generated. + "createdAfter": "A String", # BigQuery table must have been created after this date. Used to avoid backfilling. + "orConditions": { # There is an OR relationship between these attributes. They are used to determine if a table should be scanned or not in Discovery. # At least one of the conditions must be true for a table to be scanned. + "minAge": "A String", # Minimum age a table must have before Cloud DLP can profile it. Value must be 1 hour or greater. + "minRowCount": 42, # Minimum number of rows that should be present before Cloud DLP profiles a table + }, + "typeCollection": "A String", # Restrict discovery to categories of table types. + "types": { # The types of BigQuery tables supported by Cloud DLP. # Restrict discovery to specific table types. + "types": [ # A set of BigQuery table types. + "A String", + ], + }, + }, + "disabled": { # Do not profile the tables. # Tables that match this filter will not have profiles created. + }, + "filter": { # Determines what tables will have profiles generated within an organization or project. Includes the ability to filter by regular expression patterns on project ID, dataset ID, and table ID. # Required. The tables the discovery cadence applies to. The first target with a matching filter will be the one to apply to a table. + "otherTables": { # Catch-all for all other tables not specified by other filters. Should always be last, except for single-table configurations, which will only have a TableReference target. # Catch-all. This should always be the last filter in the list because anything above it will apply first. Should only appear once in a configuration. If none is specified, a default one will be added automatically. + }, + "tables": { # Specifies a collection of BigQuery tables. Used for Discovery. # A specific set of tables for this filter to apply to. A table collection must be specified in only one filter per config. If a table id or dataset is empty, Cloud DLP assumes all tables in that collection must be profiled. Must specify a project ID. + "includeRegexes": { # A collection of regular expressions to determine what tables to match against. # A collection of regular expressions to match a BigQuery table against. + "patterns": [ # A single BigQuery regular expression pattern to match against one or more tables, datasets, or projects that contain BigQuery tables. + { # A pattern to match against one or more tables, datasets, or projects that contain BigQuery tables. At least one pattern must be specified. Regular expressions use RE2 [syntax](https://github.com/google/re2/wiki/Syntax); a guide can be found under the google/re2 repository on GitHub. + "datasetIdRegex": "A String", # If unset, this property matches all datasets. + "projectIdRegex": "A String", # For organizations, if unset, will match all projects. Has no effect for data profile configurations created within a project. + "tableIdRegex": "A String", # If unset, this property matches all tables. + }, + ], + }, + }, + }, + }, + }, + ], + "updateTime": "A String", # Output only. The last update timestamp of a DiscoveryConfig. + }, + "inspectConfig": { # Configuration description of the scanning process. When used with redactContent only info_types and min_likelihood are currently used. # A copy of the inspection config used to generate this profile. This is a copy of the inspect_template specified in `DataProfileJobConfig`. + "contentOptions": [ # Deprecated and unused. + "A String", + ], + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. + { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. + "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. + { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. + "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule. + "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings. + "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. + "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. + }, + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowAfter": 42, # Number of characters after the finding to consider. + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + }, + }, + }, + ], + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` + }, + "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. + "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] + "A String", + ], + }, + }, + "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. + "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + "likelihood": "A String", # Likelihood to return for this CustomInfoType. This base value can be altered by a detection rule if the finding meets the criteria specified by the rule. Defaults to `VERY_LIKELY` if not specified. + "regex": { # Message defining a custom regular expression. # Regular expression based CustomInfoType. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Sensitivity for this CustomInfoType. If this CustomInfoType extends an existing InfoType, the sensitivity here will take precedence over that of the original InfoType. If unset for a CustomInfoType, it will default to HIGH. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "storedType": { # A reference to a StoredInfoType to use with scanning. # Load an existing `StoredInfoType` resource for use in `InspectDataSource`. Not currently supported in `InspectContent`. + "createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. + "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. + }, + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + }, + }, + ], + "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. + "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + { # Type of information detected by the API. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + ], + "limits": { # Configuration to control the number of findings returned for inspection. This is not used for de-identification or data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. # Configuration to control the number of findings returned. This is not used for data profiling. When redacting sensitive data from images, finding limits don't apply. They can cause unexpected or inconsistent results, where only some data is redacted. Don't include finding limits in RedactImage requests. Otherwise, Cloud DLP returns an error. When set within an InspectJobConfig, the specified maximum values aren't hard limits. If an inspection job reaches these limits, the job ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than these maximum values. + "maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. + { # Max findings configuration per infoType, per content item or long running DlpJob. + "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + "maxFindings": 42, # Max findings limit for the given infoType. + }, + ], + "maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. + "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. + }, + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). + "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. + { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. + "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. This field is required or else the configuration fails. + }, + ], + "ruleSet": [ # Set of rules to apply to the findings for this InspectConfig. Exclusion rules, contained in the set are executed in the end, other rules are executed in the order they are specified for each info type. + { # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. + "infoTypes": [ # List of infoTypes this rule set is applied to. + { # Type of information detected by the API. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + ], + "rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. + { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. + "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` + }, + "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. + "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] + "A String", + ], + }, + }, + "excludeByHotword": { # The rule to exclude findings based on a hotword. For record inspection of tables, column names are considered hotwords. An example of this is to exclude a finding if it belongs to a BigQuery column that matches a specific pattern. # Drop if the hotword rule is contained in the proximate context. For tabular data, the context includes the column name. + "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. + "windowAfter": 42, # Number of characters after the finding to consider. + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + }, + }, + "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. + "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. + { # Type of information detected by the API. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + ], + }, + "matchingType": "A String", # How the rule is applied, see MatchingType documentation for details. + "regex": { # Message defining a custom regular expression. # Regular expression which defines the rule. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + }, + "hotwordRule": { # The rule that adjusts the likelihood of findings within a certain proximity of hotwords. # Hotword-based detection rule. + "hotwordRegex": { # Message defining a custom regular expression. # Regular expression pattern defining what qualifies as a hotword. + "groupIndexes": [ # The index of the submatch to extract as findings. When not specified, the entire match is returned. No more than 3 may be included. + 42, + ], + "pattern": "A String", # Pattern defining the regular expression. Its syntax (https://github.com/google/re2/wiki/Syntax) can be found under the google/re2 repository on GitHub. + }, + "likelihoodAdjustment": { # Message for specifying an adjustment to the likelihood of a finding as part of a detection rule. # Likelihood adjustment to apply to all matching findings. + "fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. + "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. + }, + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowAfter": 42, # Number of characters after the finding to consider. + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). + }, + }, + }, + ], + }, + ], + }, + "inspectTemplateModifiedTime": "A String", # Timestamp when the template was modified + "inspectTemplateName": "A String", # Name of the inspection template used to generate this profile + }, + "createTime": "A String", # The time at which the table was created. + "dataRiskLevel": { # Score is a summary of all elements in the data profile. A higher number means more risk. # The data risk level of this table. + "score": "A String", # The score applied to the resource. + }, + "dataSourceType": { # Message used to identify the type of resource being profiled. # The resource type that was profiled. + "dataSource": "A String", # Output only. An identifying string to the type of resource being profiled. Current values: google/bigquery/table, google/project + }, + "datasetId": "A String", # If the resource is BigQuery, the dataset ID. + "datasetLocation": "A String", # If supported, the location where the dataset's data is stored. See https://cloud.google.com/bigquery/docs/locations for supported locations. + "datasetProjectId": "A String", # The Google Cloud project ID that owns the resource. + "encryptionStatus": "A String", # How the table is encrypted. + "expirationTime": "A String", # Optional. The time when this table expires. + "failedColumnCount": "A String", # The number of columns skipped in the table because of an error. + "fullResource": "A String", # The resource name of the resource profiled. https://cloud.google.com/apis/design/resource_names#full_resource_name + "lastModifiedTime": "A String", # The time when this table was last modified + "name": "A String", # The name of the profile. + "otherInfoTypes": [ # Other infoTypes found in this table's data. + { # Infotype details for other infoTypes found within a column. + "estimatedPrevalence": 42, # Approximate percentage of non-null rows that contained data detected by this infotype. + "excludedFromAnalysis": True or False, # Whether this infoType was excluded from sensitivity and risk analysis due to factors such as low prevalence (subject to change). + "infoType": { # Type of information detected by the API. # The other infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + ], + "predictedInfoTypes": [ # The infoTypes predicted from this table's data. + { # The infoType details for this column. + "estimatedPrevalence": 42, # Not populated for predicted infotypes. + "infoType": { # Type of information detected by the API. # The infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + ], + "profileLastGenerated": "A String", # The last time the profile was generated. + "profileStatus": { # Success or errors for the profile generation. # Success or error status from the most recent profile generation attempt. May be empty if the profile is still being generated. + "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Profiling status code and optional message. The `status.code` value is 0 (default value) for OK. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamp": "A String", # Time when the profile generation status was updated + }, + "projectDataProfile": "A String", # The resource name to the project data profile for this table. + "resourceLabels": { # The labels applied to the resource at the time the profile was generated. + "a_key": "A String", + }, + "resourceVisibility": "A String", # How broadly a resource has been shared. + "rowCount": "A String", # Number of rows in the table when the profile was generated. This will not be populated for BigLake tables. + "scannedColumnCount": "A String", # The number of columns profiled in the table. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # The sensitivity score of this table. + "score": "A String", # The sensitivity score applied to the resource. + }, + "state": "A String", # State of a profile. + "tableId": "A String", # If the resource is BigQuery, the BigQuery table ID. + "tableSizeBytes": "A String", # The size of the table when the profile was generated. + }, + ], +}+++ + \ No newline at end of file diff --git a/docs/dyn/dlp_v2.organizations.storedInfoTypes.html b/docs/dyn/dlp_v2.organizations.storedInfoTypes.html index f1fa43d912..583ded5a6d 100644 --- a/docs/dyn/dlp_v2.organizations.storedInfoTypes.html +++ b/docs/dyn/dlp_v2.organizations.storedInfoTypes.html @@ -79,22 +79,22 @@list_next()+Retrieves the next page of results. + + Args: + previous_request: The request for the previous page. (required) + previous_response: The response from the request for the previous page. (required) + + Returns: + A request object that you can call 'execute()' on to request the next + page. Returns None if there are no more items in the collection. ++Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
-Deletes a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Deletes a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
-Gets a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Gets a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists stored infoTypes. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Lists stored infoTypes. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more.
+Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more.
Method Details
close()@@ -103,19 +103,19 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Creates a pre-built stored infoType to be used for inspection. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateStoredInfoType. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # Required. Configuration of the storedInfoType to create. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # Required. Configuration of the storedInfoType to create. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -124,7 +124,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -139,7 +139,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -163,11 +163,11 @@Method Details
{ # StoredInfoType resource message that contains information about the current version and any pending updates. "currentVersion": { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. # Current version of the stored info type. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -176,7 +176,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -191,7 +191,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -228,11 +228,11 @@Method Details
"name": "A String", # Resource name. "pendingVersions": [ # Pending versions of the stored info type. Empty if no versions are pending. { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -241,7 +241,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -256,7 +256,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -296,7 +296,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Deletes a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: name: string, Required. Resource name of the organization and storedInfoType to be deleted, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. (required) @@ -314,7 +314,7 @@Method Details
get(name, x__xgafv=None)-Gets a stored infoType. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Gets a stored infoType. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: name: string, Required. Resource name of the organization and storedInfoType to be read, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. (required) @@ -328,11 +328,11 @@Method Details
{ # StoredInfoType resource message that contains information about the current version and any pending updates. "currentVersion": { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. # Current version of the stored info type. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -341,7 +341,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -356,7 +356,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -393,11 +393,11 @@Method Details
"name": "A String", # Resource name. "pendingVersions": [ # Pending versions of the stored info type. Empty if no versions are pending. { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -406,7 +406,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -421,7 +421,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -461,10 +461,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists stored infoTypes. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Lists stored infoTypes. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc, display_name, create_time desc` Supported fields are: - `create_time`: corresponds to the time the most recent version of the resource was created. - `state`: corresponds to the state of the resource. - `name`: corresponds to resource name. - `display_name`: corresponds to info type's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -482,11 +482,11 @@Method Details
"storedInfoTypes": [ # List of storedInfoTypes, up to page_size in ListStoredInfoTypesRequest. { # StoredInfoType resource message that contains information about the current version and any pending updates. "currentVersion": { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. # Current version of the stored info type. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -495,7 +495,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -510,7 +510,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -547,11 +547,11 @@Method Details
"name": "A String", # Resource name. "pendingVersions": [ # Pending versions of the stored info type. Empty if no versions are pending. { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -560,7 +560,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -575,7 +575,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -631,7 +631,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/dlp/docs/creating-stored-infotypes to learn more. +Updates the stored infoType by creating a new version. The existing version will continue to be used until the new version is ready. See https://cloud.google.com/sensitive-data-protection/docs/creating-stored-infotypes to learn more. Args: name: string, Required. Resource name of organization and storedInfoType to be updated, for example `organizations/433245324/storedInfoTypes/432452342` or projects/project-id/storedInfoTypes/432452342. (required) @@ -639,11 +639,11 @@Method Details
The object takes the form of: { # Request message for UpdateStoredInfoType. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # Updated configuration for the storedInfoType. If not provided, a new version of the storedInfoType will be created with the existing configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # Updated configuration for the storedInfoType. If not provided, a new version of the storedInfoType will be created with the existing configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -652,7 +652,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -667,7 +667,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -690,11 +690,11 @@Method Details
{ # StoredInfoType resource message that contains information about the current version and any pending updates. "currentVersion": { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. # Current version of the stored info type. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -703,7 +703,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -718,7 +718,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. @@ -755,11 +755,11 @@Method Details
"name": "A String", # Resource name. "pendingVersions": [ # Pending versions of the stored info type. Empty if no versions are pending. { # Version of a StoredInfoType, including the configuration used to build it, create timestamp, and current state. - "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/dlp/docs/creating-custom-infotypes. # StoredInfoType configuration. + "config": { # Configuration for stored infoTypes. All fields and subfield are provided by the user. For more information, see https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes. # StoredInfoType configuration. "description": "A String", # Description of the StoredInfoType (max 256 characters). - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Store dictionary-based CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -768,7 +768,7 @@Method Details
}, }, "displayName": "A String", # Display name of the StoredInfoType (max 256 characters). - "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/dlp/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. + "largeCustomDictionary": { # Configuration for a custom dictionary created from a data source of any size up to the maximum size defined in the [limits](https://cloud.google.com/sensitive-data-protection/limits) page. The artifacts of dictionary creation are stored in the specified Cloud Storage location. Consider using `CustomInfoType.Dictionary` for smaller dictionaries that satisfy the size requirements. # StoredInfoType where findings are defined by a dictionary of phrases. "bigQueryField": { # Message defining a field of a BigQuery table. # Field in a BigQuery table where each cell represents a dictionary phrase. "field": { # General identifier of a data field in a storage service. # Designated field in the BigQuery table. "name": "A String", # Name describing the field. @@ -783,7 +783,7 @@Method Details
"url": "A String", # The url, in the format `gs:///`. Trailing wildcard in the path is allowed. }, "outputPath": { # Message representing a single file or path in Cloud Storage. # Location to store dictionary artifacts in Cloud Storage. These files will only be accessible by project owners and the DLP API. If any of these artifacts are modified, the dictionary is considered invalid and can no longer be used. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, }, "regex": { # Message defining a custom regular expression. # Store regular expression-based StoredInfoType. diff --git a/docs/dyn/dlp_v2.projects.content.html b/docs/dyn/dlp_v2.projects.content.html index e9c90826cb..3cb1690b26 100644 --- a/docs/dyn/dlp_v2.projects.content.html +++ b/docs/dyn/dlp_v2.projects.content.html @@ -79,13 +79,13 @@Instance Methods
Close httplib2 connections.
-
deidentify(parent, body=None, x__xgafv=None)De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/dlp/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
+De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/sensitive-data-protection/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
-
inspect(parent, body=None, x__xgafv=None)Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/dlp/docs/inspecting-images and https://cloud.google.com/dlp/docs/inspecting-text,
+Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/sensitive-data-protection/docs/inspecting-images and https://cloud.google.com/sensitive-data-protection/docs/inspecting-text,
-
reidentify(parent, body=None, x__xgafv=None)Re-identifies content that has been de-identified. See https://cloud.google.com/dlp/docs/pseudonymization#re-identification_in_free_text_code_example to learn more.
+Re-identifies content that has been de-identified. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization#re-identification_in_free_text_code_example to learn more.
Method Details
close()@@ -94,10 +94,10 @@Method Details
deidentify(parent, body=None, x__xgafv=None)-De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/dlp/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. +De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/sensitive-data-protection/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. Args: - parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: @@ -118,7 +118,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -134,7 +134,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -142,7 +142,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -221,7 +221,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -233,16 +233,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -254,13 +254,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -273,20 +273,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -300,7 +300,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -365,7 +365,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -427,7 +427,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -435,7 +435,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -514,7 +514,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -526,16 +526,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -547,13 +547,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -566,20 +566,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -593,7 +593,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -658,7 +658,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -674,7 +674,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -753,7 +753,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -765,16 +765,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -786,13 +786,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -805,20 +805,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -832,7 +832,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -897,7 +897,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -962,7 +962,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -977,16 +977,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -996,7 +996,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1016,15 +1016,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1035,7 +1035,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1047,11 +1047,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1064,7 +1064,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1074,9 +1074,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1093,13 +1093,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1126,9 +1126,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -1142,7 +1142,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -1193,7 +1193,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -1279,7 +1279,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1287,7 +1287,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1366,7 +1366,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1378,16 +1378,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1399,13 +1399,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1418,20 +1418,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1445,7 +1445,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1510,7 +1510,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1526,7 +1526,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1605,7 +1605,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1617,16 +1617,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1638,13 +1638,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1657,20 +1657,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1684,7 +1684,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1749,7 +1749,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1764,7 +1764,7 @@Method Details
}, ], "infoType": { # Type of information detected by the API. # Set if the transformation was limited to a specific InfoType. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1814,7 +1814,7 @@Method Details
}, ], "transformation": { # A rule for transforming a value. # The specific transformation these stats apply to. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1893,7 +1893,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1905,16 +1905,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1926,13 +1926,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1945,20 +1945,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1972,7 +1972,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2037,7 +2037,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2059,10 +2059,10 @@Method Details
inspect(parent, body=None, x__xgafv=None)-Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/dlp/docs/inspecting-images and https://cloud.google.com/dlp/docs/inspecting-text, +Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/sensitive-data-protection/docs/inspecting-images and https://cloud.google.com/sensitive-data-protection/docs/inspecting-text, Args: - parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: @@ -2071,7 +2071,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -2086,16 +2086,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2105,7 +2105,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2125,15 +2125,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2144,7 +2144,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2156,11 +2156,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2173,7 +2173,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2183,9 +2183,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2202,13 +2202,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2235,9 +2235,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -2251,7 +2251,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -2303,7 +2303,7 @@Method Details
"createTime": "A String", # Timestamp when finding was detected. "findingId": "A String", # The unique finding id. "infoType": { # Type of information detected by the API. # The type of content that might have been found. Provided if `excluded_types` is false. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2370,7 +2370,7 @@Method Details
"tableId": "A String", # Name of the table. }, }, - "datastoreKey": { # Record key for a finding in Cloud Datastore. # Bigquery key + "datastoreKey": { # Record key for a finding in Cloud Datastore. # BigQuery key "entityKey": { # A unique identifier for a Datastore entity. If a key's partition ID or any of its path kinds or names are reserved/read-only, the key is reserved/read-only. A reserved/read-only key is forbidden in certain documented contexts. # Datastore entity key. "partitionId": { # Datastore partition ID. A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty. A partition ID contains several dimensions: project ID and namespace ID. # Entities are partitioned into subsets, currently identified by a project ID and namespace ID. Queries are scoped to a single partition. "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong. @@ -2428,10 +2428,10 @@Method Details
reidentify(parent, body=None, x__xgafv=None)-Re-identifies content that has been de-identified. See https://cloud.google.com/dlp/docs/pseudonymization#re-identification_in_free_text_code_example to learn more. +Re-identifies content that has been de-identified. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization#re-identification_in_free_text_code_example to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: @@ -2440,7 +2440,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -2455,16 +2455,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2474,7 +2474,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2494,15 +2494,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2513,7 +2513,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2525,11 +2525,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2542,7 +2542,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2552,9 +2552,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2571,13 +2571,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2604,9 +2604,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -2620,7 +2620,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -2671,7 +2671,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2687,7 +2687,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2695,7 +2695,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2774,7 +2774,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2786,16 +2786,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2807,13 +2807,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2826,20 +2826,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2853,7 +2853,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2918,7 +2918,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2980,7 +2980,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2988,7 +2988,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3067,7 +3067,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3079,16 +3079,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3100,13 +3100,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3119,20 +3119,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3146,7 +3146,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3211,7 +3211,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3227,7 +3227,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3306,7 +3306,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3318,16 +3318,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3339,13 +3339,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3358,20 +3358,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3385,7 +3385,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3450,7 +3450,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3527,7 +3527,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -3613,7 +3613,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3621,7 +3621,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3700,7 +3700,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3712,16 +3712,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3733,13 +3733,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3752,20 +3752,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3779,7 +3779,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3844,7 +3844,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3860,7 +3860,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3939,7 +3939,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3951,16 +3951,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3972,13 +3972,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3991,20 +3991,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4018,7 +4018,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4083,7 +4083,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4098,7 +4098,7 @@Method Details
}, ], "infoType": { # Type of information detected by the API. # Set if the transformation was limited to a specific InfoType. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4148,7 +4148,7 @@Method Details
}, ], "transformation": { # A rule for transforming a value. # The specific transformation these stats apply to. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4227,7 +4227,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4239,16 +4239,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4260,13 +4260,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4279,20 +4279,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4306,7 +4306,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4371,7 +4371,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], diff --git a/docs/dyn/dlp_v2.projects.deidentifyTemplates.html b/docs/dyn/dlp_v2.projects.deidentifyTemplates.html index ee106421b8..982cd233f1 100644 --- a/docs/dyn/dlp_v2.projects.deidentifyTemplates.html +++ b/docs/dyn/dlp_v2.projects.deidentifyTemplates.html @@ -79,22 +79,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateDeidentifyTemplate. - "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Required. The DeidentifyTemplate to create. + "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Required. The DeidentifyTemplate to create. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -129,7 +129,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -145,7 +145,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -153,7 +153,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -232,7 +232,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -244,16 +244,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -265,13 +265,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -284,20 +284,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -311,7 +311,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -376,7 +376,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -438,7 +438,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -446,7 +446,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -525,7 +525,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -537,16 +537,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -558,13 +558,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -577,20 +577,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -604,7 +604,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -669,7 +669,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -685,7 +685,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -764,7 +764,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -776,16 +776,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -797,13 +797,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -816,20 +816,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -843,7 +843,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -908,7 +908,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -985,7 +985,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1003,7 +1003,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1019,7 +1019,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1027,7 +1027,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1106,7 +1106,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1118,16 +1118,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1139,13 +1139,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1158,20 +1158,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1185,7 +1185,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1250,7 +1250,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1312,7 +1312,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1320,7 +1320,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1399,7 +1399,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1411,16 +1411,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1432,13 +1432,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1451,20 +1451,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1478,7 +1478,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1543,7 +1543,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1559,7 +1559,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1638,7 +1638,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1650,16 +1650,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1671,13 +1671,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1690,20 +1690,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1717,7 +1717,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1782,7 +1782,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1851,7 +1851,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of the organization and deidentify template to be deleted, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -1869,7 +1869,7 @@Method Details
get(name, x__xgafv=None)-Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of the organization and deidentify template to be read, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -1881,7 +1881,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1899,7 +1899,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1915,7 +1915,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1923,7 +1923,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2002,7 +2002,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2014,16 +2014,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2035,13 +2035,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2054,20 +2054,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2081,7 +2081,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2146,7 +2146,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2208,7 +2208,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2216,7 +2216,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2295,7 +2295,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2307,16 +2307,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2328,13 +2328,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2347,20 +2347,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2374,7 +2374,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2439,7 +2439,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2455,7 +2455,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2534,7 +2534,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2546,16 +2546,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2567,13 +2567,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2586,20 +2586,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2613,7 +2613,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2678,7 +2678,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2747,10 +2747,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the template was created. - `update_time`: corresponds to the time the template was last updated. - `name`: corresponds to the template's name. - `display_name`: corresponds to the template's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -2765,7 +2765,7 @@Method Details
{ # Response message for ListDeidentifyTemplates. "deidentifyTemplates": [ # List of deidentify templates, up to page_size in ListDeidentifyTemplatesRequest. - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -2783,7 +2783,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2799,7 +2799,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2807,7 +2807,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2886,7 +2886,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2898,16 +2898,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2919,13 +2919,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2938,20 +2938,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2965,7 +2965,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3030,7 +3030,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3092,7 +3092,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3100,7 +3100,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3179,7 +3179,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3191,16 +3191,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3212,13 +3212,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3231,20 +3231,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3258,7 +3258,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3323,7 +3323,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3339,7 +3339,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3418,7 +3418,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3430,16 +3430,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3451,13 +3451,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3470,20 +3470,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3497,7 +3497,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3562,7 +3562,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3648,7 +3648,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of organization and deidentify template to be updated, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -3656,7 +3656,7 @@Method Details
The object takes the form of: { # Request message for UpdateDeidentifyTemplate. - "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # New DeidentifyTemplate value. + "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # New DeidentifyTemplate value. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -3674,7 +3674,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3690,7 +3690,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3698,7 +3698,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3777,7 +3777,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3789,16 +3789,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3810,13 +3810,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3829,20 +3829,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3856,7 +3856,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3921,7 +3921,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3983,7 +3983,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3991,7 +3991,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4070,7 +4070,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4082,16 +4082,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4103,13 +4103,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4122,20 +4122,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4149,7 +4149,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4214,7 +4214,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4230,7 +4230,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4309,7 +4309,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4321,16 +4321,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4342,13 +4342,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4361,20 +4361,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4388,7 +4388,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4453,7 +4453,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4529,7 +4529,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -4547,7 +4547,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4563,7 +4563,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4571,7 +4571,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4650,7 +4650,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4662,16 +4662,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4683,13 +4683,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4702,20 +4702,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4729,7 +4729,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4794,7 +4794,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4856,7 +4856,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4864,7 +4864,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4943,7 +4943,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4955,16 +4955,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4976,13 +4976,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4995,20 +4995,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5022,7 +5022,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5087,7 +5087,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5103,7 +5103,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5182,7 +5182,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5194,16 +5194,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5215,13 +5215,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5234,20 +5234,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5261,7 +5261,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5326,7 +5326,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], diff --git a/docs/dyn/dlp_v2.projects.dlpJobs.html b/docs/dyn/dlp_v2.projects.dlpJobs.html index ca9256765a..eb850abef3 100644 --- a/docs/dyn/dlp_v2.projects.dlpJobs.html +++ b/docs/dyn/dlp_v2.projects.dlpJobs.html @@ -76,29 +76,29 @@Sensitive Data Protection (DLP) .
cancel(name, body=None, x__xgafv=None)-Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
+Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
-Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
-Gets the latest state of a long-running DlpJob. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Gets the latest state of a long-running DlpJob. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
-Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
Retrieves the next page of results.
Method Details
cancel(name, body=None, x__xgafv=None)-Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: name: string, Required. The name of the DlpJob resource to be cancelled. (required) @@ -127,17 +127,17 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. +Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateDlpJobRequest. Used to initiate long running jobs such as calculating risk metrics or inspecting Google Cloud Storage. "inspectJob": { # Controls what and how to inspect for findings. # An inspection job scans a storage repository for InfoTypes. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -158,7 +158,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -183,7 +183,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -198,16 +198,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -217,7 +217,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -237,15 +237,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -256,7 +256,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -268,11 +268,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -285,7 +285,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -295,9 +295,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -314,13 +314,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -347,9 +347,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -376,7 +376,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -385,8 +385,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -434,7 +434,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -442,9 +442,9 @@Method Details
}, "jobId": "A String", # The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: `[a-zA-Z\d-_]+`. The maximum length is 100 characters. Can be empty to allow the system to generate one. "locationId": "A String", # Deprecated. This field has no effect. - "riskJob": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # A risk analysis job calculates re-identification risk metrics for a BigQuery table. + "riskJob": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # A risk analysis job calculates re-identification risk metrics for a BigQuery table. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -465,7 +465,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -522,7 +522,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -574,7 +574,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -626,7 +626,7 @@Method Details
"transformedBytes": "A String", # Total size in bytes that were transformed in some way. }, "requestedOptions": { # De-identification options. # De-identification config used for the request. - "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. + "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -644,7 +644,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -660,7 +660,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -668,7 +668,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -747,7 +747,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -759,16 +759,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -780,13 +780,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -799,20 +799,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -826,7 +826,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -891,7 +891,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -953,7 +953,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -961,7 +961,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1040,7 +1040,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1052,16 +1052,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1073,13 +1073,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1092,20 +1092,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1119,7 +1119,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1184,7 +1184,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1200,7 +1200,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1279,7 +1279,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1291,16 +1291,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1312,13 +1312,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1331,20 +1331,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1358,7 +1358,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1423,7 +1423,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1488,7 +1488,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1506,7 +1506,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1522,7 +1522,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1530,7 +1530,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1609,7 +1609,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1621,16 +1621,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1642,13 +1642,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1661,20 +1661,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1688,7 +1688,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1753,7 +1753,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1815,7 +1815,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1823,7 +1823,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1902,7 +1902,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1914,16 +1914,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1935,13 +1935,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1954,20 +1954,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1981,7 +1981,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2046,7 +2046,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2062,7 +2062,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2141,7 +2141,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2153,16 +2153,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2174,13 +2174,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2193,20 +2193,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2220,7 +2220,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2285,7 +2285,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2350,7 +2350,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -2368,7 +2368,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2384,7 +2384,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2392,7 +2392,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2471,7 +2471,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2483,16 +2483,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2504,13 +2504,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2523,20 +2523,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2550,7 +2550,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2615,7 +2615,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2677,7 +2677,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2685,7 +2685,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2764,7 +2764,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2776,16 +2776,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2797,13 +2797,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2816,20 +2816,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2843,7 +2843,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2908,7 +2908,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2924,7 +2924,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3003,7 +3003,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3015,16 +3015,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3036,13 +3036,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3055,20 +3055,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3082,7 +3082,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3147,7 +3147,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3238,7 +3238,7 @@Method Details
"requestedOptions": { # Snapshot of the inspection configuration. # The configuration used for this job. "jobConfig": { # Controls what and how to inspect for findings. # Inspect config. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -3259,7 +3259,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -3284,7 +3284,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -3299,16 +3299,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3318,7 +3318,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3338,15 +3338,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3357,7 +3357,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3369,11 +3369,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3386,7 +3386,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3396,9 +3396,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3415,13 +3415,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3448,9 +3448,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -3477,7 +3477,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -3486,8 +3486,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -3535,13 +3535,13 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, }, }, - "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. + "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -3549,7 +3549,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -3564,16 +3564,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3583,7 +3583,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3603,15 +3603,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3622,7 +3622,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3634,11 +3634,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3651,7 +3651,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3661,9 +3661,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3680,13 +3680,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3713,9 +3713,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -3737,7 +3737,7 @@Method Details
{ # Statistics regarding a specific InfoType. "count": "A String", # Number of findings for this infoType. "infoType": { # Type of information detected by the API. # The type of finding this stat is for. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4018,9 +4018,9 @@Method Details
], }, "requestedOptions": { # Risk analysis options. # The configuration used for this job. - "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # The job config for the risk job. + "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # The job config for the risk job. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -4041,7 +4041,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -4098,7 +4098,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4150,7 +4150,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4219,7 +4219,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4271,7 +4271,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4311,7 +4311,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: name: string, Required. The name of the DlpJob resource to be deleted. (required) @@ -4329,7 +4329,7 @@Method Details
get(name, x__xgafv=None)-Gets the latest state of a long-running DlpJob. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Gets the latest state of a long-running DlpJob. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: name: string, Required. The name of the DlpJob resource. (required) @@ -4351,7 +4351,7 @@Method Details
"transformedBytes": "A String", # Total size in bytes that were transformed in some way. }, "requestedOptions": { # De-identification options. # De-identification config used for the request. - "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. + "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -4369,7 +4369,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4385,7 +4385,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4393,7 +4393,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4472,7 +4472,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4484,16 +4484,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4505,13 +4505,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4524,20 +4524,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4551,7 +4551,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4616,7 +4616,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4678,7 +4678,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4686,7 +4686,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4765,7 +4765,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4777,16 +4777,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4798,13 +4798,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4817,20 +4817,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4844,7 +4844,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4909,7 +4909,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4925,7 +4925,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5004,7 +5004,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5016,16 +5016,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5037,13 +5037,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5056,20 +5056,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5083,7 +5083,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5148,7 +5148,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5213,7 +5213,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -5231,7 +5231,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5247,7 +5247,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5255,7 +5255,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5334,7 +5334,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5346,16 +5346,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5367,13 +5367,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5386,20 +5386,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5413,7 +5413,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5478,7 +5478,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5540,7 +5540,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5548,7 +5548,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5627,7 +5627,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5639,16 +5639,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5660,13 +5660,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5679,20 +5679,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5706,7 +5706,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5771,7 +5771,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5787,7 +5787,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5866,7 +5866,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5878,16 +5878,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5899,13 +5899,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5918,20 +5918,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5945,7 +5945,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -6010,7 +6010,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -6075,7 +6075,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -6093,7 +6093,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -6109,7 +6109,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -6117,7 +6117,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -6196,7 +6196,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6208,16 +6208,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6229,13 +6229,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6248,20 +6248,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6275,7 +6275,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -6340,7 +6340,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -6402,7 +6402,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -6410,7 +6410,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -6489,7 +6489,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6501,16 +6501,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6522,13 +6522,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6541,20 +6541,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6568,7 +6568,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -6633,7 +6633,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -6649,7 +6649,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -6728,7 +6728,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6740,16 +6740,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6761,13 +6761,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6780,20 +6780,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6807,7 +6807,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -6872,7 +6872,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -6963,7 +6963,7 @@Method Details
"requestedOptions": { # Snapshot of the inspection configuration. # The configuration used for this job. "jobConfig": { # Controls what and how to inspect for findings. # Inspect config. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -6984,7 +6984,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -7009,7 +7009,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -7024,16 +7024,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -7043,7 +7043,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7063,15 +7063,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7082,7 +7082,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7094,11 +7094,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7111,7 +7111,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7121,9 +7121,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -7140,13 +7140,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7173,9 +7173,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -7202,7 +7202,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -7211,8 +7211,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -7260,13 +7260,13 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, }, }, - "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. + "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -7274,7 +7274,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -7289,16 +7289,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -7308,7 +7308,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7328,15 +7328,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7347,7 +7347,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7359,11 +7359,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7376,7 +7376,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7386,9 +7386,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -7405,13 +7405,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7438,9 +7438,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -7462,7 +7462,7 @@Method Details
{ # Statistics regarding a specific InfoType. "count": "A String", # Number of findings for this infoType. "infoType": { # Type of information detected by the API. # The type of finding this stat is for. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7743,9 +7743,9 @@Method Details
], }, "requestedOptions": { # Risk analysis options. # The configuration used for this job. - "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # The job config for the risk job. + "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # The job config for the risk job. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -7766,7 +7766,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -7823,7 +7823,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7875,7 +7875,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7944,7 +7944,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7996,7 +7996,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8036,10 +8036,10 @@Method Details
list(parent, filter=None, locationId=None, orderBy=None, pageSize=None, pageToken=None, type=None, x__xgafv=None)-Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values for inspect jobs: - `state` - PENDING|RUNNING|CANCELED|FINISHED|FAILED - `inspected_storage` - DATASTORE|CLOUD_STORAGE|BIGQUERY - `trigger_name` - The name of the trigger that created the job. - 'end_time` - Corresponds to the time the job finished. - 'start_time` - Corresponds to the time the job finished. * Supported fields for risk analysis jobs: - `state` - RUNNING|CANCELED|FINISHED|FAILED - 'end_time` - Corresponds to the time the job finished. - 'start_time` - Corresponds to the time the job finished. * The operator must be `=` or `!=`. Examples: * inspected_storage = cloud_storage AND state = done * inspected_storage = cloud_storage OR inspected_storage = bigquery * inspected_storage = cloud_storage AND (state = done OR state = canceled) * end_time > \"2017-12-12T00:00:00+00:00\" The length of this field should be no more than 500 characters. locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc, end_time asc, create_time desc` Supported fields are: - `create_time`: corresponds to the time the job was created. - `end_time`: corresponds to the time the job ended. - `name`: corresponds to the job's name. - `state`: corresponds to `state` @@ -8070,7 +8070,7 @@Method Details
"transformedBytes": "A String", # Total size in bytes that were transformed in some way. }, "requestedOptions": { # De-identification options. # De-identification config used for the request. - "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. + "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -8088,7 +8088,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8104,7 +8104,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8112,7 +8112,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -8191,7 +8191,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8203,16 +8203,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8224,13 +8224,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8243,20 +8243,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8270,7 +8270,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -8335,7 +8335,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -8397,7 +8397,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8405,7 +8405,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -8484,7 +8484,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8496,16 +8496,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8517,13 +8517,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8536,20 +8536,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8563,7 +8563,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -8628,7 +8628,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -8644,7 +8644,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -8723,7 +8723,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8735,16 +8735,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8756,13 +8756,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8775,20 +8775,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8802,7 +8802,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -8867,7 +8867,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -8932,7 +8932,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -8950,7 +8950,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8966,7 +8966,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8974,7 +8974,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -9053,7 +9053,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9065,16 +9065,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9086,13 +9086,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9105,20 +9105,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9132,7 +9132,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -9197,7 +9197,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -9259,7 +9259,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -9267,7 +9267,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -9346,7 +9346,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9358,16 +9358,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9379,13 +9379,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9398,20 +9398,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9425,7 +9425,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -9490,7 +9490,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -9506,7 +9506,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -9585,7 +9585,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9597,16 +9597,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9618,13 +9618,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9637,20 +9637,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9664,7 +9664,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -9729,7 +9729,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -9794,7 +9794,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -9812,7 +9812,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -9828,7 +9828,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -9836,7 +9836,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -9915,7 +9915,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9927,16 +9927,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9948,13 +9948,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9967,20 +9967,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9994,7 +9994,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -10059,7 +10059,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -10121,7 +10121,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10129,7 +10129,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -10208,7 +10208,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10220,16 +10220,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10241,13 +10241,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10260,20 +10260,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10287,7 +10287,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -10352,7 +10352,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -10368,7 +10368,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -10447,7 +10447,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10459,16 +10459,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10480,13 +10480,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10499,20 +10499,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10526,7 +10526,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -10591,7 +10591,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -10682,7 +10682,7 @@Method Details
"requestedOptions": { # Snapshot of the inspection configuration. # The configuration used for this job. "jobConfig": { # Controls what and how to inspect for findings. # Inspect config. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -10703,7 +10703,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -10728,7 +10728,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -10743,16 +10743,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -10762,7 +10762,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10782,15 +10782,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10801,7 +10801,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10813,11 +10813,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10830,7 +10830,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10840,9 +10840,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -10859,13 +10859,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10892,9 +10892,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -10921,7 +10921,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -10930,8 +10930,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -10979,13 +10979,13 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, }, }, - "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. + "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -10993,7 +10993,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -11008,16 +11008,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -11027,7 +11027,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11047,15 +11047,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11066,7 +11066,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11078,11 +11078,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11095,7 +11095,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11105,9 +11105,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -11124,13 +11124,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11157,9 +11157,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -11181,7 +11181,7 @@Method Details
{ # Statistics regarding a specific InfoType. "count": "A String", # Number of findings for this infoType. "infoType": { # Type of information detected by the API. # The type of finding this stat is for. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11462,9 +11462,9 @@Method Details
], }, "requestedOptions": { # Risk analysis options. # The configuration used for this job. - "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # The job config for the risk job. + "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # The job config for the risk job. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -11485,7 +11485,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -11542,7 +11542,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11594,7 +11594,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11663,7 +11663,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11715,7 +11715,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, diff --git a/docs/dyn/dlp_v2.projects.image.html b/docs/dyn/dlp_v2.projects.image.html index a3df4d83a3..67cd4e7ea9 100644 --- a/docs/dyn/dlp_v2.projects.image.html +++ b/docs/dyn/dlp_v2.projects.image.html @@ -79,7 +79,7 @@Instance Methods
Close httplib2 connections.
-
redact(parent, body=None, x__xgafv=None)Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/dlp/docs/redacting-sensitive-data-images to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
+Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/sensitive-data-protection/docs/redacting-sensitive-data-images to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
Method Details
close()@@ -88,10 +88,10 @@Method Details
redact(parent, body=None, x__xgafv=None)-Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/dlp/docs/redacting-sensitive-data-images to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. +Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/sensitive-data-protection/docs/redacting-sensitive-data-images to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. Args: - parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: @@ -103,7 +103,7 @@Method Details
"imageRedactionConfigs": [ # The configuration for specifying what content to redact from images. { # Configuration for determining how redaction of images should occur. "infoType": { # Type of information detected by the API. # Only one per info_type should be provided per request. If not specified, and redact_all_text is false, the DLP API will redact all text that it matches against all info_types that are found, but not specified in another ImageRedactionConfig. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -122,7 +122,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -137,16 +137,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -156,7 +156,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -176,15 +176,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -195,7 +195,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -207,11 +207,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -224,7 +224,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -234,9 +234,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -253,13 +253,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -286,9 +286,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -315,7 +315,7 @@Method Details
"createTime": "A String", # Timestamp when finding was detected. "findingId": "A String", # The unique finding id. "infoType": { # Type of information detected by the API. # The type of content that might have been found. Provided if `excluded_types` is false. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -382,7 +382,7 @@Method Details
"tableId": "A String", # Name of the table. }, }, - "datastoreKey": { # Record key for a finding in Cloud Datastore. # Bigquery key + "datastoreKey": { # Record key for a finding in Cloud Datastore. # BigQuery key "entityKey": { # A unique identifier for a Datastore entity. If a key's partition ID or any of its path kinds or names are reserved/read-only, the key is reserved/read-only. A reserved/read-only key is forbidden in certain documented contexts. # Datastore entity key. "partitionId": { # Datastore partition ID. A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty. A partition ID contains several dimensions: project ID and namespace ID. # Entities are partitioned into subsets, currently identified by a project ID and namespace ID. Queries are scoped to a single partition. "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong. diff --git a/docs/dyn/dlp_v2.projects.inspectTemplates.html b/docs/dyn/dlp_v2.projects.inspectTemplates.html index f9eebb5133..a8bbddabc4 100644 --- a/docs/dyn/dlp_v2.projects.inspectTemplates.html +++ b/docs/dyn/dlp_v2.projects.inspectTemplates.html @@ -79,22 +79,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-Deletes an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Deletes an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-Gets an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Gets an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists InspectTemplates. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Lists InspectTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Updates the InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateInspectTemplate. - "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Required. The InspectTemplate to create. + "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Required. The InspectTemplate to create. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -119,7 +119,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -134,16 +134,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -153,7 +153,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -173,15 +173,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -192,7 +192,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -204,11 +204,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -221,7 +221,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -231,9 +231,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -250,13 +250,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -283,9 +283,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -308,7 +308,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -316,7 +316,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -331,16 +331,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -350,7 +350,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -370,15 +370,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -389,7 +389,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -401,11 +401,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -418,7 +418,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -428,9 +428,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -447,13 +447,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -480,9 +480,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -497,7 +497,7 @@Method Details
delete(name, x__xgafv=None)-Deletes an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Deletes an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of the organization and inspectTemplate to be deleted, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -515,7 +515,7 @@Method Details
get(name, x__xgafv=None)-Gets an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Gets an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of the organization and inspectTemplate to be read, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -527,7 +527,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -535,7 +535,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -550,16 +550,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -569,7 +569,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -589,15 +589,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -608,7 +608,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -620,11 +620,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -637,7 +637,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -647,9 +647,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -666,13 +666,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -699,9 +699,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -716,10 +716,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists InspectTemplates. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Lists InspectTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the template was created. - `update_time`: corresponds to the time the template was last updated. - `name`: corresponds to the template's name. - `display_name`: corresponds to the template's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -734,7 +734,7 @@Method Details
{ # Response message for ListInspectTemplates. "inspectTemplates": [ # List of inspectTemplates, up to page_size in ListInspectTemplatesRequest. - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -742,7 +742,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -757,16 +757,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -776,7 +776,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -796,15 +796,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -815,7 +815,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -827,11 +827,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -844,7 +844,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -854,9 +854,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -873,13 +873,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -906,9 +906,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -940,7 +940,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Updates the InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: name: string, Required. Resource name of organization and inspectTemplate to be updated, for example `organizations/433245324/inspectTemplates/432452342` or projects/project-id/inspectTemplates/432452342. (required) @@ -948,7 +948,7 @@Method Details
The object takes the form of: { # Request message for UpdateInspectTemplate. - "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # New InspectTemplate value. + "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # New InspectTemplate value. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -956,7 +956,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -971,16 +971,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -990,7 +990,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1010,15 +1010,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1029,7 +1029,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1041,11 +1041,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1058,7 +1058,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1068,9 +1068,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1087,13 +1087,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1120,9 +1120,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -1144,7 +1144,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -1152,7 +1152,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -1167,16 +1167,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1186,7 +1186,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1206,15 +1206,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1225,7 +1225,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1237,11 +1237,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1254,7 +1254,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1264,9 +1264,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1283,13 +1283,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1316,9 +1316,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, diff --git a/docs/dyn/dlp_v2.projects.jobTriggers.html b/docs/dyn/dlp_v2.projects.jobTriggers.html index b0227d724f..311ed701f5 100644 --- a/docs/dyn/dlp_v2.projects.jobTriggers.html +++ b/docs/dyn/dlp_v2.projects.jobTriggers.html @@ -82,22 +82,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
-Deletes a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Deletes a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
-Gets a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Gets a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
-Lists job triggers. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Lists job triggers. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more.
+Updates a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more.
Method Details
activate(name, body=None, x__xgafv=None)@@ -129,7 +129,7 @@Method Details
"transformedBytes": "A String", # Total size in bytes that were transformed in some way. }, "requestedOptions": { # De-identification options. # De-identification config used for the request. - "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. + "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -147,7 +147,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -163,7 +163,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -171,7 +171,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -250,7 +250,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -262,16 +262,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -283,13 +283,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -302,20 +302,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -329,7 +329,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -394,7 +394,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -456,7 +456,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -464,7 +464,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -543,7 +543,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -555,16 +555,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -576,13 +576,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -595,20 +595,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -622,7 +622,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -687,7 +687,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -703,7 +703,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -782,7 +782,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -794,16 +794,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -815,13 +815,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -834,20 +834,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -861,7 +861,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -926,7 +926,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -991,7 +991,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1009,7 +1009,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1025,7 +1025,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1033,7 +1033,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1112,7 +1112,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1124,16 +1124,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1145,13 +1145,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1164,20 +1164,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1191,7 +1191,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1256,7 +1256,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1318,7 +1318,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1326,7 +1326,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1405,7 +1405,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1417,16 +1417,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1438,13 +1438,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1457,20 +1457,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1484,7 +1484,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1549,7 +1549,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1565,7 +1565,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1644,7 +1644,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1656,16 +1656,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1677,13 +1677,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1696,20 +1696,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1723,7 +1723,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1788,7 +1788,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1853,7 +1853,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1871,7 +1871,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1887,7 +1887,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1895,7 +1895,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1974,7 +1974,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1986,16 +1986,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2007,13 +2007,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2026,20 +2026,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2053,7 +2053,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2118,7 +2118,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2180,7 +2180,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2188,7 +2188,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2267,7 +2267,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2279,16 +2279,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2300,13 +2300,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2319,20 +2319,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2346,7 +2346,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2411,7 +2411,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2427,7 +2427,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2506,7 +2506,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2518,16 +2518,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2539,13 +2539,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2558,20 +2558,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2585,7 +2585,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2650,7 +2650,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2741,7 +2741,7 @@Method Details
"requestedOptions": { # Snapshot of the inspection configuration. # The configuration used for this job. "jobConfig": { # Controls what and how to inspect for findings. # Inspect config. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -2762,7 +2762,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -2787,7 +2787,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -2802,16 +2802,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2821,7 +2821,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2841,15 +2841,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2860,7 +2860,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2872,11 +2872,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2889,7 +2889,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2899,9 +2899,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2918,13 +2918,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2951,9 +2951,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -2980,7 +2980,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -2989,8 +2989,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -3038,13 +3038,13 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, }, }, - "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. + "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -3052,7 +3052,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -3067,16 +3067,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3086,7 +3086,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3106,15 +3106,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3125,7 +3125,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3137,11 +3137,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3154,7 +3154,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3164,9 +3164,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3183,13 +3183,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3216,9 +3216,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -3240,7 +3240,7 @@Method Details
{ # Statistics regarding a specific InfoType. "count": "A String", # Number of findings for this infoType. "infoType": { # Type of information detected by the API. # The type of finding this stat is for. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3521,9 +3521,9 @@Method Details
], }, "requestedOptions": { # Risk analysis options. # The configuration used for this job. - "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # The job config for the risk job. + "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # The job config for the risk job. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -3544,7 +3544,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -3601,7 +3601,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3653,7 +3653,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3722,7 +3722,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3774,7 +3774,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3819,15 +3819,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Creates a job trigger to run DLP actions such as scanning storage for sensitive information on a set schedule. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateJobTrigger. - "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. # Required. The JobTrigger to create. + "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. # Required. The JobTrigger to create. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -3849,7 +3849,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -3870,7 +3870,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -3895,7 +3895,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -3910,16 +3910,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3929,7 +3929,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3949,15 +3949,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3968,7 +3968,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3980,11 +3980,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3997,7 +3997,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4007,9 +4007,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -4026,13 +4026,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4059,9 +4059,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -4088,7 +4088,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -4097,8 +4097,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -4146,7 +4146,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -4178,7 +4178,7 @@Method Details
Returns: An object of the form: - { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. + { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -4200,7 +4200,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -4221,7 +4221,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -4246,7 +4246,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -4261,16 +4261,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -4280,7 +4280,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4300,15 +4300,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4319,7 +4319,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4331,11 +4331,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4348,7 +4348,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4358,9 +4358,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -4377,13 +4377,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4410,9 +4410,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -4439,7 +4439,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -4448,8 +4448,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -4497,7 +4497,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -4521,7 +4521,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Deletes a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: name: string, Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. (required) @@ -4539,7 +4539,7 @@Method Details
get(name, x__xgafv=None)-Gets a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Gets a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: name: string, Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. (required) @@ -4551,7 +4551,7 @@Method Details
Returns: An object of the form: - { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. + { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -4573,7 +4573,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -4594,7 +4594,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -4619,7 +4619,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -4634,16 +4634,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -4653,7 +4653,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4673,15 +4673,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4692,7 +4692,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4704,11 +4704,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4721,7 +4721,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4731,9 +4731,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -4750,13 +4750,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4783,9 +4783,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -4812,7 +4812,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -4821,8 +4821,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -4870,7 +4870,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -4894,10 +4894,10 @@Method Details
list(parent, filter=None, locationId=None, orderBy=None, pageSize=None, pageToken=None, type=None, x__xgafv=None)-Lists job triggers. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Lists job triggers. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values for inspect triggers: - `status` - HEALTHY|PAUSED|CANCELLED - `inspected_storage` - DATASTORE|CLOUD_STORAGE|BIGQUERY - 'last_run_time` - RFC 3339 formatted timestamp, surrounded by quotation marks. Nanoseconds are ignored. - 'error_count' - Number of errors that have occurred while running. * The operator must be `=` or `!=` for status and inspected_storage. Examples: * inspected_storage = cloud_storage AND status = HEALTHY * inspected_storage = cloud_storage OR inspected_storage = bigquery * inspected_storage = cloud_storage AND (state = PAUSED OR state = HEALTHY) * last_run_time > \"2017-12-12T00:00:00+00:00\" The length of this field should be no more than 500 characters. locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of triggeredJob fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the JobTrigger was created. - `update_time`: corresponds to the time the JobTrigger was last updated. - `last_run_time`: corresponds to the last time the JobTrigger ran. - `name`: corresponds to the JobTrigger's name. - `display_name`: corresponds to the JobTrigger's display name. - `status`: corresponds to JobTrigger's status. @@ -4918,7 +4918,7 @@Method Details
{ # Response message for ListJobTriggers. "jobTriggers": [ # List of triggeredJobs, up to page_size in ListJobTriggersRequest. - { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. + { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -4940,7 +4940,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -4961,7 +4961,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -4986,7 +4986,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -5001,16 +5001,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -5020,7 +5020,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5040,15 +5040,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5059,7 +5059,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5071,11 +5071,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5088,7 +5088,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5098,9 +5098,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -5117,13 +5117,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5150,9 +5150,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -5179,7 +5179,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -5188,8 +5188,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -5237,7 +5237,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -5278,7 +5278,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates a job trigger. See https://cloud.google.com/dlp/docs/creating-job-triggers to learn more. +Updates a job trigger. See https://cloud.google.com/sensitive-data-protection/docs/creating-job-triggers to learn more. Args: name: string, Required. Resource name of the project and the triggeredJob, for example `projects/dlp-test-project/jobTriggers/53234423`. (required) @@ -5286,7 +5286,7 @@Method Details
The object takes the form of: { # Request message for UpdateJobTrigger. - "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. # New JobTrigger value. + "jobTrigger": { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. # New JobTrigger value. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -5308,7 +5308,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -5329,7 +5329,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -5354,7 +5354,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -5369,16 +5369,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -5388,7 +5388,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5408,15 +5408,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5427,7 +5427,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5439,11 +5439,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5456,7 +5456,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5466,9 +5466,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -5485,13 +5485,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5518,9 +5518,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -5547,7 +5547,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -5556,8 +5556,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -5605,7 +5605,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -5636,7 +5636,7 @@Method Details
Returns: An object of the form: - { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/dlp/docs/concepts-job-triggers to learn more. + { # Contains a configuration to make dlp api calls on a repeating basis. See https://cloud.google.com/sensitive-data-protection/docs/concepts-job-triggers to learn more. "createTime": "A String", # Output only. The creation timestamp of a triggeredJob. "description": "A String", # User provided description (max 256 chars) "displayName": "A String", # Display name (max 100 chars) @@ -5658,7 +5658,7 @@Method Details
], "inspectJob": { # Controls what and how to inspect for findings. # For inspect jobs, a snapshot of the configuration. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -5679,7 +5679,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -5704,7 +5704,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -5719,16 +5719,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -5738,7 +5738,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5758,15 +5758,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5777,7 +5777,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5789,11 +5789,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5806,7 +5806,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5816,9 +5816,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -5835,13 +5835,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5868,9 +5868,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -5897,7 +5897,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -5906,8 +5906,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -5955,7 +5955,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, diff --git a/docs/dyn/dlp_v2.projects.locations.columnDataProfiles.html b/docs/dyn/dlp_v2.projects.locations.columnDataProfiles.html new file mode 100644 index 0000000000..c5c10457f8 --- /dev/null +++ b/docs/dyn/dlp_v2.projects.locations.columnDataProfiles.html @@ -0,0 +1,266 @@ + + + +Sensitive Data Protection (DLP) . projects . locations . columnDataProfiles
+Instance Methods
++
+close()Close httplib2 connections.
+ +Gets a column data profile.
++
+list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists data profiles for an organization.
+ +Retrieves the next page of results.
+Method Details
+++ +close()+Close httplib2 connections.+++ +get(name, x__xgafv=None)+Gets a column data profile. + +Args: + name: string, Required. Resource name, for example `organizations/12345/locations/us/columnDataProfiles/53234423`. (required) + x__xgafv: string, V1 error format. + Allowed values + 1 - v1 error format + 2 - v2 error format + +Returns: + An object of the form: + + { # The profile for a scanned column within a table. + "column": "A String", # The name of the column. + "columnInfoType": { # The infoType details for this column. # If it's been determined this column can be identified as a single type, this will be set. Otherwise the column either has unidentifiable content or mixed types. + "estimatedPrevalence": 42, # Not populated for predicted infotypes. + "infoType": { # Type of information detected by the API. # The infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + "columnType": "A String", # The data type of a given column. + "dataRiskLevel": { # Score is a summary of all elements in the data profile. A higher number means more risk. # The data risk level for this column. + "score": "A String", # The score applied to the resource. + }, + "datasetId": "A String", # The BigQuery dataset ID. + "datasetLocation": "A String", # The BigQuery location where the dataset's data is stored. See https://cloud.google.com/bigquery/docs/locations for supported locations. + "datasetProjectId": "A String", # The Google Cloud project ID that owns the profiled resource. + "estimatedNullPercentage": "A String", # Approximate percentage of entries being null in the column. + "estimatedUniquenessScore": "A String", # Approximate uniqueness of the column. + "freeTextScore": 3.14, # The likelihood that this column contains free-form text. A value close to 1 may indicate the column is likely to contain free-form or natural language text. Range in 0-1. + "name": "A String", # The name of the profile. + "otherMatches": [ # Other types found within this column. List will be unordered. + { # Infotype details for other infoTypes found within a column. + "estimatedPrevalence": 42, # Approximate percentage of non-null rows that contained data detected by this infotype. + "excludedFromAnalysis": True or False, # Whether this infoType was excluded from sensitivity and risk analysis due to factors such as low prevalence (subject to change). + "infoType": { # Type of information detected by the API. # The other infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + ], + "policyState": "A String", # Indicates if a policy tag has been applied to the column. + "profileLastGenerated": "A String", # The last time the profile was generated. + "profileStatus": { # Success or errors for the profile generation. # Success or error status from the most recent profile generation attempt. May be empty if the profile is still being generated. + "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Profiling status code and optional message. The `status.code` value is 0 (default value) for OK. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamp": "A String", # Time when the profile generation status was updated + }, + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # The sensitivity of this column. + "score": "A String", # The sensitivity score applied to the resource. + }, + "state": "A String", # State of a profile. + "tableDataProfile": "A String", # The resource name of the table data profile. + "tableFullResource": "A String", # The resource name of the resource this column is within. + "tableId": "A String", # The BigQuery table ID. +}+++ +list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)+Lists data profiles for an organization. + +Args: + parent: string, Required. Resource name of the organization or project, for example `organizations/433245324/locations/europe` or projects/project-id/locations/asia. (required) + filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values: - `table_data_profile_name` - The name of the related table data profile. - `project_id` - The Google Cloud project ID. (REQUIRED) - `dataset_id` - The BigQuery dataset ID. (REQUIRED) - `table_id` - The BigQuery table ID. (REQUIRED) - `field_id` - The ID of the BigQuery field. - `info_type` - The infotype detected in the resource. - `sensitivity_level` - HIGH|MEDIUM|LOW - `data_risk_level`: How much risk is associated with this data. - `status_code` - an RPC status code as defined in https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto * The operator must be `=` for project_id, dataset_id, and table_id. Other filters also support `!=`. Examples: * project_id = 12345 AND status_code = 1 * project_id = 12345 AND sensitivity_level = HIGH * project_id = 12345 AND info_type = STREET_ADDRESS The length of this field should be no more than 500 characters. + orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Only one order field at a time is allowed. Examples: * `project_id asc` * `table_id` * `sensitivity_level desc` Supported fields are: - `project_id`: The Google Cloud project ID. - `dataset_id`: The ID of a BigQuery dataset. - `table_id`: The ID of a BigQuery table. - `sensitivity_level`: How sensitive the data in a column is, at most. - `data_risk_level`: How much risk is associated with this data. - `profile_last_generated`: When the profile was last updated in epoch seconds. + pageSize: integer, Size of the page. This value can be limited by the server. If zero, server returns a page of max size 100. + pageToken: string, Page token to continue retrieval. + x__xgafv: string, V1 error format. + Allowed values + 1 - v1 error format + 2 - v2 error format + +Returns: + An object of the form: + + { # List of profiles generated for a given organization or project. + "columnDataProfiles": [ # List of data profiles. + { # The profile for a scanned column within a table. + "column": "A String", # The name of the column. + "columnInfoType": { # The infoType details for this column. # If it's been determined this column can be identified as a single type, this will be set. Otherwise the column either has unidentifiable content or mixed types. + "estimatedPrevalence": 42, # Not populated for predicted infotypes. + "infoType": { # Type of information detected by the API. # The infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + "columnType": "A String", # The data type of a given column. + "dataRiskLevel": { # Score is a summary of all elements in the data profile. A higher number means more risk. # The data risk level for this column. + "score": "A String", # The score applied to the resource. + }, + "datasetId": "A String", # The BigQuery dataset ID. + "datasetLocation": "A String", # The BigQuery location where the dataset's data is stored. See https://cloud.google.com/bigquery/docs/locations for supported locations. + "datasetProjectId": "A String", # The Google Cloud project ID that owns the profiled resource. + "estimatedNullPercentage": "A String", # Approximate percentage of entries being null in the column. + "estimatedUniquenessScore": "A String", # Approximate uniqueness of the column. + "freeTextScore": 3.14, # The likelihood that this column contains free-form text. A value close to 1 may indicate the column is likely to contain free-form or natural language text. Range in 0-1. + "name": "A String", # The name of the profile. + "otherMatches": [ # Other types found within this column. List will be unordered. + { # Infotype details for other infoTypes found within a column. + "estimatedPrevalence": 42, # Approximate percentage of non-null rows that contained data detected by this infotype. + "excludedFromAnalysis": True or False, # Whether this infoType was excluded from sensitivity and risk analysis due to factors such as low prevalence (subject to change). + "infoType": { # Type of information detected by the API. # The other infoType. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. + "score": "A String", # The sensitivity score applied to the resource. + }, + "version": "A String", # Optional version name for this InfoType. + }, + }, + ], + "policyState": "A String", # Indicates if a policy tag has been applied to the column. + "profileLastGenerated": "A String", # The last time the profile was generated. + "profileStatus": { # Success or errors for the profile generation. # Success or error status from the most recent profile generation attempt. May be empty if the profile is still being generated. + "status": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Profiling status code and optional message. The `status.code` value is 0 (default value) for OK. + "code": 42, # The status code, which should be an enum value of google.rpc.Code. + "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. + { + "a_key": "", # Properties of the object. Contains field @type with type URL. + }, + ], + "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + }, + "timestamp": "A String", # Time when the profile generation status was updated + }, + "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # The sensitivity of this column. + "score": "A String", # The sensitivity score applied to the resource. + }, + "state": "A String", # State of a profile. + "tableDataProfile": "A String", # The resource name of the table data profile. + "tableFullResource": "A String", # The resource name of the resource this column is within. + "tableId": "A String", # The BigQuery table ID. + }, + ], + "nextPageToken": "A String", # The next page token. +}+++ + \ No newline at end of file diff --git a/docs/dyn/dlp_v2.projects.locations.content.html b/docs/dyn/dlp_v2.projects.locations.content.html index 9e9a3f348f..39d8291946 100644 --- a/docs/dyn/dlp_v2.projects.locations.content.html +++ b/docs/dyn/dlp_v2.projects.locations.content.html @@ -79,13 +79,13 @@list_next()+Retrieves the next page of results. + + Args: + previous_request: The request for the previous page. (required) + previous_response: The response from the request for the previous page. (required) + + Returns: + A request object that you can call 'execute()' on to request the next + page. Returns None if there are no more items in the collection. ++Instance Methods
Close httplib2 connections.
-
deidentify(parent, body=None, x__xgafv=None)De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/dlp/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
+De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/sensitive-data-protection/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
-
inspect(parent, body=None, x__xgafv=None)Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/dlp/docs/inspecting-images and https://cloud.google.com/dlp/docs/inspecting-text,
+Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/sensitive-data-protection/docs/inspecting-images and https://cloud.google.com/sensitive-data-protection/docs/inspecting-text,
-
reidentify(parent, body=None, x__xgafv=None)Re-identifies content that has been de-identified. See https://cloud.google.com/dlp/docs/pseudonymization#re-identification_in_free_text_code_example to learn more.
+Re-identifies content that has been de-identified. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization#re-identification_in_free_text_code_example to learn more.
Method Details
close()@@ -94,10 +94,10 @@Method Details
deidentify(parent, body=None, x__xgafv=None)-De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/dlp/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. +De-identifies potentially sensitive info from a ContentItem. This method has limits on input size and output size. See https://cloud.google.com/sensitive-data-protection/docs/deidentify-sensitive-data to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. Args: - parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: @@ -118,7 +118,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -134,7 +134,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -142,7 +142,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -221,7 +221,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -233,16 +233,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -254,13 +254,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -273,20 +273,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -300,7 +300,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -365,7 +365,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -427,7 +427,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -435,7 +435,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -514,7 +514,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -526,16 +526,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -547,13 +547,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -566,20 +566,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -593,7 +593,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -658,7 +658,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -674,7 +674,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -753,7 +753,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -765,16 +765,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -786,13 +786,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -805,20 +805,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -832,7 +832,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -897,7 +897,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -962,7 +962,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -977,16 +977,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -996,7 +996,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1016,15 +1016,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1035,7 +1035,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1047,11 +1047,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1064,7 +1064,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1074,9 +1074,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -1093,13 +1093,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1126,9 +1126,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -1142,7 +1142,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -1193,7 +1193,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -1279,7 +1279,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1287,7 +1287,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1366,7 +1366,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1378,16 +1378,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1399,13 +1399,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1418,20 +1418,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1445,7 +1445,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1510,7 +1510,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1526,7 +1526,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1605,7 +1605,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1617,16 +1617,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1638,13 +1638,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1657,20 +1657,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1684,7 +1684,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1749,7 +1749,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1764,7 +1764,7 @@Method Details
}, ], "infoType": { # Type of information detected by the API. # Set if the transformation was limited to a specific InfoType. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1814,7 +1814,7 @@Method Details
}, ], "transformation": { # A rule for transforming a value. # The specific transformation these stats apply to. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1893,7 +1893,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1905,16 +1905,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1926,13 +1926,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1945,20 +1945,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1972,7 +1972,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2037,7 +2037,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2059,10 +2059,10 @@Method Details
inspect(parent, body=None, x__xgafv=None)-Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/dlp/docs/inspecting-images and https://cloud.google.com/dlp/docs/inspecting-text, +Finds potentially sensitive info in content. This method has limits on input size, processing time, and output size. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. For how to guides, see https://cloud.google.com/sensitive-data-protection/docs/inspecting-images and https://cloud.google.com/sensitive-data-protection/docs/inspecting-text, Args: - parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: @@ -2071,7 +2071,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -2086,16 +2086,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2105,7 +2105,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2125,15 +2125,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2144,7 +2144,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2156,11 +2156,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2173,7 +2173,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2183,9 +2183,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2202,13 +2202,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2235,9 +2235,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -2251,7 +2251,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -2303,7 +2303,7 @@Method Details
"createTime": "A String", # Timestamp when finding was detected. "findingId": "A String", # The unique finding id. "infoType": { # Type of information detected by the API. # The type of content that might have been found. Provided if `excluded_types` is false. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2370,7 +2370,7 @@Method Details
"tableId": "A String", # Name of the table. }, }, - "datastoreKey": { # Record key for a finding in Cloud Datastore. # Bigquery key + "datastoreKey": { # Record key for a finding in Cloud Datastore. # BigQuery key "entityKey": { # A unique identifier for a Datastore entity. If a key's partition ID or any of its path kinds or names are reserved/read-only, the key is reserved/read-only. A reserved/read-only key is forbidden in certain documented contexts. # Datastore entity key. "partitionId": { # Datastore partition ID. A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty. A partition ID contains several dimensions: project ID and namespace ID. # Entities are partitioned into subsets, currently identified by a project ID and namespace ID. Queries are scoped to a single partition. "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong. @@ -2428,10 +2428,10 @@Method Details
reidentify(parent, body=None, x__xgafv=None)-Re-identifies content that has been de-identified. See https://cloud.google.com/dlp/docs/pseudonymization#re-identification_in_free_text_code_example to learn more. +Re-identifies content that has been de-identified. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization#re-identification_in_free_text_code_example to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: @@ -2440,7 +2440,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -2455,16 +2455,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2474,7 +2474,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2494,15 +2494,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2513,7 +2513,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2525,11 +2525,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2542,7 +2542,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2552,9 +2552,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -2571,13 +2571,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2604,9 +2604,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -2620,7 +2620,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -2671,7 +2671,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2687,7 +2687,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2695,7 +2695,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2774,7 +2774,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2786,16 +2786,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2807,13 +2807,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2826,20 +2826,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2853,7 +2853,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2918,7 +2918,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2980,7 +2980,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2988,7 +2988,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3067,7 +3067,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3079,16 +3079,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3100,13 +3100,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3119,20 +3119,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3146,7 +3146,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3211,7 +3211,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3227,7 +3227,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3306,7 +3306,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3318,16 +3318,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3339,13 +3339,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3358,20 +3358,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3385,7 +3385,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3450,7 +3450,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3527,7 +3527,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -3613,7 +3613,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3621,7 +3621,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3700,7 +3700,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3712,16 +3712,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3733,13 +3733,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3752,20 +3752,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3779,7 +3779,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3844,7 +3844,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3860,7 +3860,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3939,7 +3939,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3951,16 +3951,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3972,13 +3972,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3991,20 +3991,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4018,7 +4018,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4083,7 +4083,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4098,7 +4098,7 @@Method Details
}, ], "infoType": { # Type of information detected by the API. # Set if the transformation was limited to a specific InfoType. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4148,7 +4148,7 @@Method Details
}, ], "transformation": { # A rule for transforming a value. # The specific transformation these stats apply to. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4227,7 +4227,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4239,16 +4239,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4260,13 +4260,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4279,20 +4279,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4306,7 +4306,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4371,7 +4371,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], diff --git a/docs/dyn/dlp_v2.projects.locations.deidentifyTemplates.html b/docs/dyn/dlp_v2.projects.locations.deidentifyTemplates.html index 38b6dd1803..61793fa32c 100644 --- a/docs/dyn/dlp_v2.projects.locations.deidentifyTemplates.html +++ b/docs/dyn/dlp_v2.projects.locations.deidentifyTemplates.html @@ -79,22 +79,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more.
+Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Creates a DeidentifyTemplate for reusing frequently used configuration for de-identifying content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateDeidentifyTemplate. - "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Required. The DeidentifyTemplate to create. + "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Required. The DeidentifyTemplate to create. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -129,7 +129,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -145,7 +145,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -153,7 +153,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -232,7 +232,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -244,16 +244,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -265,13 +265,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -284,20 +284,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -311,7 +311,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -376,7 +376,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -438,7 +438,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -446,7 +446,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -525,7 +525,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -537,16 +537,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -558,13 +558,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -577,20 +577,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -604,7 +604,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -669,7 +669,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -685,7 +685,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -764,7 +764,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -776,16 +776,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -797,13 +797,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -816,20 +816,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -843,7 +843,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -908,7 +908,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -985,7 +985,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1003,7 +1003,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1019,7 +1019,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1027,7 +1027,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1106,7 +1106,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1118,16 +1118,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1139,13 +1139,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1158,20 +1158,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1185,7 +1185,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1250,7 +1250,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1312,7 +1312,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1320,7 +1320,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1399,7 +1399,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1411,16 +1411,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1432,13 +1432,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1451,20 +1451,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1478,7 +1478,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1543,7 +1543,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1559,7 +1559,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1638,7 +1638,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1650,16 +1650,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1671,13 +1671,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1690,20 +1690,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1717,7 +1717,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1782,7 +1782,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1851,7 +1851,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Deletes a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of the organization and deidentify template to be deleted, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -1869,7 +1869,7 @@Method Details
get(name, x__xgafv=None)-Gets a DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Gets a DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of the organization and deidentify template to be read, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -1881,7 +1881,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1899,7 +1899,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1915,7 +1915,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1923,7 +1923,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2002,7 +2002,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2014,16 +2014,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2035,13 +2035,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2054,20 +2054,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2081,7 +2081,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2146,7 +2146,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2208,7 +2208,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2216,7 +2216,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2295,7 +2295,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2307,16 +2307,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2328,13 +2328,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2347,20 +2347,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2374,7 +2374,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2439,7 +2439,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2455,7 +2455,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2534,7 +2534,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2546,16 +2546,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2567,13 +2567,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2586,20 +2586,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2613,7 +2613,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2678,7 +2678,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2747,10 +2747,10 @@Method Details
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)-Lists DeidentifyTemplates. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Lists DeidentifyTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc,update_time, create_time desc` Supported fields are: - `create_time`: corresponds to the time the template was created. - `update_time`: corresponds to the time the template was last updated. - `name`: corresponds to the template's name. - `display_name`: corresponds to the template's display name. pageSize: integer, Size of the page. This value can be limited by the server. If zero server returns a page of max size 100. @@ -2765,7 +2765,7 @@Method Details
{ # Response message for ListDeidentifyTemplates. "deidentifyTemplates": [ # List of deidentify templates, up to page_size in ListDeidentifyTemplatesRequest. - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -2783,7 +2783,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2799,7 +2799,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2807,7 +2807,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2886,7 +2886,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2898,16 +2898,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2919,13 +2919,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2938,20 +2938,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2965,7 +2965,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3030,7 +3030,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3092,7 +3092,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3100,7 +3100,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3179,7 +3179,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3191,16 +3191,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3212,13 +3212,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3231,20 +3231,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3258,7 +3258,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3323,7 +3323,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3339,7 +3339,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3418,7 +3418,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3430,16 +3430,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3451,13 +3451,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3470,20 +3470,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3497,7 +3497,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3562,7 +3562,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3648,7 +3648,7 @@Method Details
patch(name, body=None, x__xgafv=None)-Updates the DeidentifyTemplate. See https://cloud.google.com/dlp/docs/creating-templates-deid to learn more. +Updates the DeidentifyTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates-deid to learn more. Args: name: string, Required. Resource name of organization and deidentify template to be updated, for example `organizations/433245324/deidentifyTemplates/432452342` or projects/project-id/deidentifyTemplates/432452342. (required) @@ -3656,7 +3656,7 @@Method Details
The object takes the form of: { # Request message for UpdateDeidentifyTemplate. - "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # New DeidentifyTemplate value. + "deidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # New DeidentifyTemplate value. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -3674,7 +3674,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3690,7 +3690,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3698,7 +3698,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3777,7 +3777,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3789,16 +3789,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3810,13 +3810,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3829,20 +3829,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3856,7 +3856,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3921,7 +3921,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3983,7 +3983,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3991,7 +3991,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4070,7 +4070,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4082,16 +4082,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4103,13 +4103,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4122,20 +4122,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4149,7 +4149,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4214,7 +4214,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4230,7 +4230,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4309,7 +4309,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4321,16 +4321,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4342,13 +4342,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4361,20 +4361,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4388,7 +4388,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4453,7 +4453,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4529,7 +4529,7 @@Method Details
Returns: An object of the form: - { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -4547,7 +4547,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4563,7 +4563,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4571,7 +4571,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4650,7 +4650,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4662,16 +4662,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4683,13 +4683,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4702,20 +4702,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4729,7 +4729,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4794,7 +4794,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4856,7 +4856,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4864,7 +4864,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4943,7 +4943,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4955,16 +4955,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4976,13 +4976,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4995,20 +4995,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5022,7 +5022,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5087,7 +5087,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5103,7 +5103,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5182,7 +5182,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5194,16 +5194,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5215,13 +5215,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5234,20 +5234,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5261,7 +5261,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5326,7 +5326,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], diff --git a/docs/dyn/dlp_v2.projects.locations.discoveryConfigs.html b/docs/dyn/dlp_v2.projects.locations.discoveryConfigs.html index 3426057f61..9ba80c6139 100644 --- a/docs/dyn/dlp_v2.projects.locations.discoveryConfigs.html +++ b/docs/dyn/dlp_v2.projects.locations.discoveryConfigs.html @@ -112,7 +112,7 @@Method Details
{ # Request message for CreateDiscoveryConfig. "configId": "A String", # The config ID can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: `[a-zA-Z\d-_]+`. The maximum length is 100 characters. Can be empty to allow the system to generate one. - "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). # Required. The DiscoveryConfig to create. + "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). # Required. The DiscoveryConfig to create. "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -158,7 +158,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -233,7 +233,7 @@Method Details
Returns: An object of the form: - { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). + { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -279,7 +279,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -378,7 +378,7 @@Method Details
Returns: An object of the form: - { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). + { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -424,7 +424,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -510,7 +510,7 @@Method Details
{ # Response message for ListDiscoveryConfigs. "discoveryConfigs": [ # List of configs, up to page_size in ListDiscoveryConfigsRequest. - { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). + { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -556,7 +556,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -650,7 +650,7 @@Method Details
The object takes the form of: { # Request message for UpdateDiscoveryConfig. - "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). # Required. New DiscoveryConfig value. + "discoveryConfig": { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). # Required. New DiscoveryConfig value. "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -696,7 +696,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. @@ -772,7 +772,7 @@Method Details
Returns: An object of the form: - { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/dlp/docs/data-profiles#retention). + { # Configuration for discovery to scan resources for profile generation. Only one discovery configuration may exist per organization, folder, or project. The generated data profiles are retained according to the [data retention policy] (https://cloud.google.com/sensitive-data-protection/docs/data-profiles#retention). "actions": [ # Actions to execute at the completion of scanning. { # A task to execute when a data profile has been generated. "exportData": { # If set, the detailed data profiles will be persisted to the location of your choice whenever updated. # Export data profiles into a provided location. @@ -818,7 +818,7 @@Method Details
], }, ], - "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/dlp/docs/data-profiles#data-residency. + "inspectTemplates": [ # Detection logic for profile generation. Not all template features are used by Discovery. FindingLimits, include_quote and exclude_info_types have no impact on Discovery. Multiple templates may be provided if there is data in multiple regions. At most one template must be specified per-region (including "global"). Each region is scanned using the applicable template. If no region-specific template is specified, but a "global" template is specified, it will be copied to that region and used instead. If no global or region-specific template is provided for a region with data, that region's data will not be scanned. For more information, see https://cloud.google.com/sensitive-data-protection/docs/data-profiles#data-residency. "A String", ], "lastRunTime": "A String", # Output only. The timestamp of the last time this config was executed. diff --git a/docs/dyn/dlp_v2.projects.locations.dlpJobs.html b/docs/dyn/dlp_v2.projects.locations.dlpJobs.html index b82105057f..f634b2e2ce 100644 --- a/docs/dyn/dlp_v2.projects.locations.dlpJobs.html +++ b/docs/dyn/dlp_v2.projects.locations.dlpJobs.html @@ -76,35 +76,35 @@Sensitive Data Protection (DLP) .
cancel(name, body=None, x__xgafv=None)-Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
+Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
-Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
finish(name, body=None, x__xgafv=None)Finish a running hybrid DlpJob. Triggers the finalization steps and running of any enabled actions that have not yet run.
-Gets the latest state of a long-running DlpJob. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Gets the latest state of a long-running DlpJob. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
hybridInspect(name, body=None, x__xgafv=None)Inspect hybrid content and store findings to a job. To review the findings, inspect the job. Inspection will occur asynchronously.
-Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more.
+Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more.
Retrieves the next page of results.
Method Details
cancel(name, body=None, x__xgafv=None)-Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Starts asynchronous cancellation on a long-running DlpJob. The server makes a best effort to cancel the DlpJob, but success is not guaranteed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: name: string, Required. The name of the DlpJob resource to be cancelled. (required) @@ -133,17 +133,17 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. +Creates a new job to inspect storage or calculate risk metrics. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. When no InfoTypes or CustomInfoTypes are specified in inspect jobs, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateDlpJobRequest. Used to initiate long running jobs such as calculating risk metrics or inspecting Google Cloud Storage. "inspectJob": { # Controls what and how to inspect for findings. # An inspection job scans a storage repository for InfoTypes. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -164,7 +164,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -189,7 +189,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -204,16 +204,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -223,7 +223,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -243,15 +243,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -262,7 +262,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -274,11 +274,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -291,7 +291,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -301,9 +301,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -320,13 +320,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -353,9 +353,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -382,7 +382,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -391,8 +391,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -440,7 +440,7 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, @@ -448,9 +448,9 @@Method Details
}, "jobId": "A String", # The job id can contain uppercase and lowercase letters, numbers, and hyphens; that is, it must match the regular expression: `[a-zA-Z\d-_]+`. The maximum length is 100 characters. Can be empty to allow the system to generate one. "locationId": "A String", # Deprecated. This field has no effect. - "riskJob": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # A risk analysis job calculates re-identification risk metrics for a BigQuery table. + "riskJob": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # A risk analysis job calculates re-identification risk metrics for a BigQuery table. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -471,7 +471,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -528,7 +528,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -580,7 +580,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -632,7 +632,7 @@Method Details
"transformedBytes": "A String", # Total size in bytes that were transformed in some way. }, "requestedOptions": { # De-identification options. # De-identification config used for the request. - "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. + "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -650,7 +650,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -666,7 +666,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -674,7 +674,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -753,7 +753,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -765,16 +765,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -786,13 +786,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -805,20 +805,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -832,7 +832,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -897,7 +897,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -959,7 +959,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -967,7 +967,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1046,7 +1046,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1058,16 +1058,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1079,13 +1079,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1098,20 +1098,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1125,7 +1125,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1190,7 +1190,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1206,7 +1206,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1285,7 +1285,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1297,16 +1297,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1318,13 +1318,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1337,20 +1337,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1364,7 +1364,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1429,7 +1429,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1494,7 +1494,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -1512,7 +1512,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1528,7 +1528,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1536,7 +1536,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1615,7 +1615,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1627,16 +1627,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1648,13 +1648,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1667,20 +1667,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1694,7 +1694,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -1759,7 +1759,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -1821,7 +1821,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -1829,7 +1829,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -1908,7 +1908,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1920,16 +1920,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1941,13 +1941,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1960,20 +1960,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -1987,7 +1987,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2052,7 +2052,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2068,7 +2068,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2147,7 +2147,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2159,16 +2159,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2180,13 +2180,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2199,20 +2199,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2226,7 +2226,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2291,7 +2291,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2356,7 +2356,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -2374,7 +2374,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2390,7 +2390,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2398,7 +2398,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2477,7 +2477,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2489,16 +2489,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2510,13 +2510,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2529,20 +2529,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2556,7 +2556,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2621,7 +2621,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2683,7 +2683,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -2691,7 +2691,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -2770,7 +2770,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2782,16 +2782,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2803,13 +2803,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2822,20 +2822,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -2849,7 +2849,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -2914,7 +2914,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -2930,7 +2930,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -3009,7 +3009,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3021,16 +3021,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3042,13 +3042,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3061,20 +3061,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -3088,7 +3088,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -3153,7 +3153,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -3244,7 +3244,7 @@Method Details
"requestedOptions": { # Snapshot of the inspection configuration. # The configuration used for this job. "jobConfig": { # Controls what and how to inspect for findings. # Inspect config. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -3265,7 +3265,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -3290,7 +3290,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -3305,16 +3305,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3324,7 +3324,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3344,15 +3344,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3363,7 +3363,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3375,11 +3375,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3392,7 +3392,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3402,9 +3402,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3421,13 +3421,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3454,9 +3454,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -3483,7 +3483,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -3492,8 +3492,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -3541,13 +3541,13 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, }, }, - "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. + "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -3555,7 +3555,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -3570,16 +3570,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3589,7 +3589,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3609,15 +3609,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3628,7 +3628,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3640,11 +3640,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3657,7 +3657,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3667,9 +3667,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -3686,13 +3686,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -3719,9 +3719,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -3743,7 +3743,7 @@Method Details
{ # Statistics regarding a specific InfoType. "count": "A String", # Number of findings for this infoType. "infoType": { # Type of information detected by the API. # The type of finding this stat is for. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4024,9 +4024,9 @@Method Details
], }, "requestedOptions": { # Risk analysis options. # The configuration used for this job. - "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # The job config for the risk job. + "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # The job config for the risk job. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -4047,7 +4047,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -4104,7 +4104,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4156,7 +4156,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4225,7 +4225,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4277,7 +4277,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4317,7 +4317,7 @@Method Details
delete(name, x__xgafv=None)-Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Deletes a long-running DlpJob. This method indicates that the client is no longer interested in the DlpJob result. The job will be canceled if possible. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: name: string, Required. The name of the DlpJob resource to be deleted. (required) @@ -4359,7 +4359,7 @@Method Details
get(name, x__xgafv=None)-Gets the latest state of a long-running DlpJob. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Gets the latest state of a long-running DlpJob. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: name: string, Required. The name of the DlpJob resource. (required) @@ -4381,7 +4381,7 @@Method Details
"transformedBytes": "A String", # Total size in bytes that were transformed in some way. }, "requestedOptions": { # De-identification options. # De-identification config used for the request. - "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. + "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -4399,7 +4399,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4415,7 +4415,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4423,7 +4423,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4502,7 +4502,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4514,16 +4514,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4535,13 +4535,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4554,20 +4554,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4581,7 +4581,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4646,7 +4646,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4708,7 +4708,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -4716,7 +4716,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -4795,7 +4795,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4807,16 +4807,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4828,13 +4828,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4847,20 +4847,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -4874,7 +4874,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -4939,7 +4939,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -4955,7 +4955,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5034,7 +5034,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5046,16 +5046,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5067,13 +5067,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5086,20 +5086,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5113,7 +5113,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5178,7 +5178,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5243,7 +5243,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -5261,7 +5261,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5277,7 +5277,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5285,7 +5285,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5364,7 +5364,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5376,16 +5376,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5397,13 +5397,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5416,20 +5416,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5443,7 +5443,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5508,7 +5508,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5570,7 +5570,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -5578,7 +5578,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5657,7 +5657,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5669,16 +5669,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5690,13 +5690,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5709,20 +5709,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5736,7 +5736,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -5801,7 +5801,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -5817,7 +5817,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -5896,7 +5896,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5908,16 +5908,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5929,13 +5929,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5948,20 +5948,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -5975,7 +5975,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -6040,7 +6040,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -6105,7 +6105,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -6123,7 +6123,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -6139,7 +6139,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -6147,7 +6147,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -6226,7 +6226,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6238,16 +6238,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6259,13 +6259,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6278,20 +6278,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6305,7 +6305,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -6370,7 +6370,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -6432,7 +6432,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -6440,7 +6440,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -6519,7 +6519,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6531,16 +6531,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6552,13 +6552,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6571,20 +6571,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6598,7 +6598,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -6663,7 +6663,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -6679,7 +6679,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -6758,7 +6758,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6770,16 +6770,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6791,13 +6791,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6810,20 +6810,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -6837,7 +6837,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -6902,7 +6902,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -6993,7 +6993,7 @@Method Details
"requestedOptions": { # Snapshot of the inspection configuration. # The configuration used for this job. "jobConfig": { # Controls what and how to inspect for findings. # Inspect config. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -7014,7 +7014,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -7039,7 +7039,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -7054,16 +7054,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -7073,7 +7073,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7093,15 +7093,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7112,7 +7112,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7124,11 +7124,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7141,7 +7141,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7151,9 +7151,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -7170,13 +7170,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7203,9 +7203,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -7232,7 +7232,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -7241,8 +7241,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -7290,13 +7290,13 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, }, }, - "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. + "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -7304,7 +7304,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -7319,16 +7319,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -7338,7 +7338,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7358,15 +7358,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7377,7 +7377,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7389,11 +7389,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7406,7 +7406,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7416,9 +7416,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -7435,13 +7435,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7468,9 +7468,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -7492,7 +7492,7 @@Method Details
{ # Statistics regarding a specific InfoType. "count": "A String", # Number of findings for this infoType. "infoType": { # Type of information detected by the API. # The type of finding this stat is for. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7773,9 +7773,9 @@Method Details
], }, "requestedOptions": { # Risk analysis options. # The configuration used for this job. - "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # The job config for the risk job. + "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # The job config for the risk job. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -7796,7 +7796,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -7853,7 +7853,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7905,7 +7905,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -7974,7 +7974,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8026,7 +8026,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8103,7 +8103,7 @@Method Details
"data": "A String", # Content data to inspect or redact. "type": "A String", # The type of data stored in the bytes string. Default will be TEXT_UTF8. }, - "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/dlp/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/dlp/docs/inspecting-text#inspecting_a_table to learn more. + "table": { # Structured content to inspect. Up to 50,000 `Value`s per request allowed. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-structured-text#inspecting_a_table to learn more. # Structured content for inspection. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-text#inspecting_a_table to learn more. "headers": [ # Headers of the table. { # General identifier of a data field in a storage service. "name": "A String", # Name describing the field. @@ -8154,10 +8154,10 @@Method Details
list(parent, filter=None, locationId=None, orderBy=None, pageSize=None, pageToken=None, type=None, x__xgafv=None)-Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/dlp/docs/inspecting-storage and https://cloud.google.com/dlp/docs/compute-risk-analysis to learn more. +Lists DlpJobs that match the specified filter in the request. See https://cloud.google.com/sensitive-data-protection/docs/inspecting-storage and https://cloud.google.com/sensitive-data-protection/docs/compute-risk-analysis to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) filter: string, Allows filtering. Supported syntax: * Filter expressions are made up of one or more restrictions. * Restrictions can be combined by `AND` or `OR` logical operators. A sequence of restrictions implicitly uses `AND`. * A restriction has the form of `{field} {operator} {value}`. * Supported fields/values for inspect jobs: - `state` - PENDING|RUNNING|CANCELED|FINISHED|FAILED - `inspected_storage` - DATASTORE|CLOUD_STORAGE|BIGQUERY - `trigger_name` - The name of the trigger that created the job. - 'end_time` - Corresponds to the time the job finished. - 'start_time` - Corresponds to the time the job finished. * Supported fields for risk analysis jobs: - `state` - RUNNING|CANCELED|FINISHED|FAILED - 'end_time` - Corresponds to the time the job finished. - 'start_time` - Corresponds to the time the job finished. * The operator must be `=` or `!=`. Examples: * inspected_storage = cloud_storage AND state = done * inspected_storage = cloud_storage OR inspected_storage = bigquery * inspected_storage = cloud_storage AND (state = done OR state = canceled) * end_time > \"2017-12-12T00:00:00+00:00\" The length of this field should be no more than 500 characters. locationId: string, Deprecated. This field has no effect. orderBy: string, Comma separated list of fields to order by, followed by `asc` or `desc` postfix. This list is case insensitive. The default sorting order is ascending. Redundant space characters are insignificant. Example: `name asc, end_time asc, create_time desc` Supported fields are: - `create_time`: corresponds to the time the job was created. - `end_time`: corresponds to the time the job ended. - `name`: corresponds to the job's name. - `state`: corresponds to `state` @@ -8188,7 +8188,7 @@Method Details
"transformedBytes": "A String", # Total size in bytes that were transformed in some way. }, "requestedOptions": { # De-identification options. # De-identification config used for the request. - "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. + "snapshotDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the `DeidentifyTemplate` from the Deidentify action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -8206,7 +8206,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8222,7 +8222,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8230,7 +8230,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -8309,7 +8309,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8321,16 +8321,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8342,13 +8342,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8361,20 +8361,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8388,7 +8388,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -8453,7 +8453,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -8515,7 +8515,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -8523,7 +8523,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -8602,7 +8602,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8614,16 +8614,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8635,13 +8635,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8654,20 +8654,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8681,7 +8681,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -8746,7 +8746,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -8762,7 +8762,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -8841,7 +8841,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8853,16 +8853,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8874,13 +8874,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8893,20 +8893,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -8920,7 +8920,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -8985,7 +8985,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -9050,7 +9050,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotImageRedactTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the image transformation `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -9068,7 +9068,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -9084,7 +9084,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -9092,7 +9092,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -9171,7 +9171,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9183,16 +9183,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9204,13 +9204,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9223,20 +9223,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9250,7 +9250,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -9315,7 +9315,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -9377,7 +9377,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -9385,7 +9385,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -9464,7 +9464,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9476,16 +9476,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9497,13 +9497,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9516,20 +9516,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9543,7 +9543,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -9608,7 +9608,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -9624,7 +9624,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -9703,7 +9703,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9715,16 +9715,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9736,13 +9736,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9755,20 +9755,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -9782,7 +9782,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -9847,7 +9847,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -9912,7 +9912,7 @@Method Details
"name": "A String", # Output only. The template name. The template will have one of the following formats: `projects/PROJECT_ID/deidentifyTemplates/TEMPLATE_ID` OR `organizations/ORGANIZATION_ID/deidentifyTemplates/TEMPLATE_ID` "updateTime": "A String", # Output only. The last update timestamp of an inspectTemplate. }, - "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. + "snapshotStructuredDeidentifyTemplate": { # DeidentifyTemplates contains instructions on how to de-identify content. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Snapshot of the state of the structured `DeidentifyTemplate` from the `Deidentify` action at the time this job was run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "deidentifyConfig": { # The configuration that controls how the data will change. # The core content of the template. "imageTransformations": { # A type of transformation that is applied over images. # Treat the dataset as an image and redact. @@ -9930,7 +9930,7 @@Method Details
"selectedInfoTypes": { # Apply transformation to the selected info_types. # Apply transformation to the selected info_types. "infoTypes": [ # Required. InfoTypes to apply the transformation to. Required. Provided InfoType must be unique within the ImageTransformations message. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -9946,7 +9946,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -9954,7 +9954,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -10033,7 +10033,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10045,16 +10045,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10066,13 +10066,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10085,20 +10085,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10112,7 +10112,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -10177,7 +10177,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -10239,7 +10239,7 @@Method Details
{ # A transformation to apply to text that is identified as a specific info_type. "infoTypes": [ # InfoTypes to apply the transformation to. An empty list will cause this transformation to apply to all findings that correspond to infoTypes that were requested in `InspectConfig`. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10247,7 +10247,7 @@Method Details
}, ], "primitiveTransformation": { # A rule for transforming a value. # Required. Primitive transformation to apply to the infoType. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -10326,7 +10326,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10338,16 +10338,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10359,13 +10359,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10378,20 +10378,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10405,7 +10405,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -10470,7 +10470,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -10486,7 +10486,7 @@Method Details
], }, "primitiveTransformation": { # A rule for transforming a value. # Apply the transformation to the entire field. - "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Bucketing + "bucketingConfig": { # Generalization function that buckets values based on ranges. The ranges and replacement values are dynamically provided by the user for custom behavior, such as 1-30 -> LOW 31-65 -> MEDIUM 66-100 -> HIGH This can be used on data of type: number, long, string, timestamp. If the bound `Value` type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Bucketing "buckets": [ # Set of buckets. Ranges must be non-overlapping. { # Bucket is represented as a range, along with replacement values. "max": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Upper bound of the range, exclusive; type must match min. @@ -10565,7 +10565,7 @@Method Details
"name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the encryption function. For deterministic encryption using AES-SIV, the provided key is internally expanded to 64 bytes prior to use. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10577,16 +10577,16 @@Method Details
}, }, "surrogateInfoType": { # Type of information detected by the API. # The custom info type to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom info type followed by the number of characters comprising the surrogate. The following scheme defines the format: {info type name}({surrogate character count}):{surrogate} For example, if the name of custom info type is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom info type 'Surrogate'. This facilitates reversal of the surrogate when it occurs in free text. Note: For record transformations where the entire cell in a table is being transformed, surrogates are not mandatory. Surrogates are used to denote the location of the token and are necessary for re-identification in free form text. In order for inspection to work properly, the name of this info type must not occur naturally anywhere in your data; otherwise, inspection may either - reverse a surrogate that does not correspond to an actual identifier - be unable to parse the surrogate and result in an error Therefore, choose your custom info type name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. # Crypto + "cryptoHashConfig": { # Pseudonymization method that generates surrogates via cryptographic hashing. Uses SHA-256. The key size must be either 32 or 64 bytes. Outputs a base64 encoded representation of the hashed output (for example, L7k0BHmF1ha5U3NfGykjro4xWi1MPVQPjhMAZbSV9mM=). Currently, only string and integer values can be hashed. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. # Crypto "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # The key used by the hash function. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10598,13 +10598,13 @@Method Details
}, }, }, - "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/dlp/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe + "cryptoReplaceFfxFpeConfig": { # Replaces an identifier with a surrogate using Format Preserving Encryption (FPE) with the FFX mode of operation; however when used in the `ReidentifyContent` API method, it serves the opposite function by reversing the surrogate back into the original identifier. The identifier must be encoded as ASCII. For a given crypto key and context, the same identifier will be replaced with the same surrogate. Identifiers must be at least two characters long. In the case that the identifier is the empty string, it will be skipped. See https://cloud.google.com/sensitive-data-protection/docs/pseudonymization to learn more. Note: We recommend using CryptoDeterministicConfig for all use cases which do not require preserving the input alphabet space and size, plus warrant referential integrity. # Ffx-Fpe "commonAlphabet": "A String", # Common alphabets. "context": { # General identifier of a data field in a storage service. # The 'tweak', a context may be used for higher security since the same identifier in two different contexts won't be given the same surrogate. If the context is not set, a default tweak will be used. If the context is set but: 1. there is no record present when transforming a given value or 1. the field is not present when transforming a given value, a default tweak will be used. Note that case (1) is expected when an `InfoTypeTransformation` is applied to both structured and unstructured `ContentItem`s. Currently, the referenced field may be of value type integer or string. The tweak is constructed as a sequence of bytes in big endian byte order such that: - a 64 bit integer is encoded followed by a single byte of value 1 - a string is encoded in UTF-8 format followed by a single byte of value 2 "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Required. The key used by the encryption algorithm. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10617,20 +10617,20 @@Method Details
}, "customAlphabet": "A String", # This is supported by mapping these to the alphanumeric characters that the FFX mode natively supports. This happens before/after encryption/decryption. Each character listed must appear only once. Number of characters must be in the range [2, 95]. This must be encoded as ASCII. The order of characters does not matter. The full list of allowed characters is: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz ~`!@#$%^&*()_-+={[}]|\:;"'<,>.?/ "radix": 42, # The native way to select the alphabet. Must be in the range [2, 95]. - "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/dlp/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "surrogateInfoType": { # Type of information detected by the API. # The custom infoType to annotate the surrogate with. This annotation will be applied to the surrogate by prefixing it with the name of the custom infoType followed by the number of characters comprising the surrogate. The following scheme defines the format: info_type_name(surrogate_character_count):surrogate For example, if the name of custom infoType is 'MY_TOKEN_INFO_TYPE' and the surrogate is 'abc', the full replacement value will be: 'MY_TOKEN_INFO_TYPE(3):abc' This annotation identifies the surrogate when inspecting content using the custom infoType [`SurrogateType`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/InspectConfig#surrogatetype). This facilitates reversal of the surrogate when it occurs in free text. In order for inspection to work properly, the name of this infoType must not occur naturally anywhere in your data; otherwise, inspection may find a surrogate that does not correspond to an actual identifier. Therefore, choose your custom infoType name carefully after considering what your data looks like. One way to select a name that has a high chance of yielding reliable detection is to include one or more unicode characters that are highly improbable to exist in your data. For example, assuming your data is entered from a regular ASCII keyboard, the symbol with the hex code point 29DD might be used like so: ⧝MY_TOKEN_TYPE + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, "version": "A String", # Optional version name for this InfoType. }, }, - "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/dlp/docs/concepts-date-shifting to learn more. # Date Shift + "dateShiftConfig": { # Shifts dates by random number of days, with option to be consistent for the same context. See https://cloud.google.com/sensitive-data-protection/docs/concepts-date-shifting to learn more. # Date Shift "context": { # General identifier of a data field in a storage service. # Points to the field that contains the context, for example, an entity id. If set, must also set cryptoKey. If set, shift will be consistent for the given context. "name": "A String", # Name describing the field. }, "cryptoKey": { # This is a data encryption key (DEK) (as opposed to a key encryption key (KEK) stored by Cloud Key Management Service (Cloud KMS). When using Cloud KMS to wrap or unwrap a DEK, be sure to set an appropriate IAM policy on the KEK to ensure an attacker cannot unwrap the DEK. # Causes the shift to be computed based on this key and the context. This results in the same shift for the same context and crypto_key. If set, must also set context. Can only be applied to table items. - "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/dlp/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS + "kmsWrapped": { # Include to use an existing data crypto key wrapped by KMS. The wrapped key must be a 128-, 192-, or 256-bit key. Authorization requires the following IAM permissions when sending a request to perform a crypto transformation using a KMS-wrapped crypto key: dlp.kms.encrypt For more information, see [Creating a wrapped key] (https://cloud.google.com/sensitive-data-protection/docs/create-wrapped-key). Note: When you use Cloud KMS for cryptographic operations, [charges apply](https://cloud.google.com/kms/pricing). # Key wrapped using Cloud KMS "cryptoKeyName": "A String", # Required. The resource name of the KMS CryptoKey to use for unwrapping. "wrappedKey": "A String", # Required. The wrapped data crypto key. }, @@ -10644,7 +10644,7 @@Method Details
"lowerBoundDays": 42, # Required. For example, -5 means shift date to at most 5 days back in the past. "upperBoundDays": 42, # Required. Range of shift in days. Actual shift will be selected at random within this range (inclusive ends). Negative means shift to earlier in time. Must not be more than 365250 days (1000 years) each direction. For example, 3 means shift date to at most 3 days into the future. }, - "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/dlp/docs/concepts-bucketing to learn more. # Fixed size bucketing + "fixedSizeBucketingConfig": { # Buckets values based on fixed size ranges. The Bucketing transformation can provide all of this functionality, but requires more configuration. This message is provided as a convenience to the user for simple bucketing strategies. The transformed value will be a hyphenated string of {lower_bound}-{upper_bound}. For example, if lower_bound = 10 and upper_bound = 20, all values that are within this bucket will be replaced with "10-20". This can be used on data of type: double, long. If the bound Value type differs from the type of data being transformed, we will first attempt converting the type of the data to be transformed to match the type of the bound before comparing. See https://cloud.google.com/sensitive-data-protection/docs/concepts-bucketing to learn more. # Fixed size bucketing "bucketSize": 3.14, # Required. Size of each bucket (except for minimum and maximum buckets). So if `lower_bound` = 10, `upper_bound` = 89, and `bucket_size` = 10, then the following buckets would be used: -10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-89, 89+. Precision up to 2 decimals works. "lowerBound": { # Set of primitive values supported by the system. Note that for the purposes of inspection or transformation, the number of bytes considered to comprise a 'Value' is based on its representation as a UTF-8 encoded string. For example, if 'integer_value' is set to 123456789, the number of bytes would be counted as 9, even though an int64 only holds up to 8 bytes of data. # Required. Lower bound value of buckets. All values less than `lower_bound` are grouped together into a single bucket; for example if `lower_bound` = 10, then all values less than 10 are replaced with the value "-10". "booleanValue": True or False, # boolean @@ -10709,7 +10709,7 @@Method Details
}, }, "replaceDictionaryConfig": { # Replace each input value with a value randomly selected from the dictionary. # Replace with a value randomly drawn (with replacement) from a dictionary. - "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. + "wordList": { # Message defining a list of words or phrases to search for in the data. # A list of words to select from for random replacement. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] "A String", ], @@ -10800,7 +10800,7 @@Method Details
"requestedOptions": { # Snapshot of the inspection configuration. # The configuration used for this job. "jobConfig": { # Controls what and how to inspect for findings. # Inspect config. "actions": [ # Actions to execute at the completion of the job. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -10821,7 +10821,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -10846,7 +10846,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -10861,16 +10861,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -10880,7 +10880,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10900,15 +10900,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10919,7 +10919,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10931,11 +10931,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10948,7 +10948,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -10958,9 +10958,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -10977,13 +10977,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11010,9 +11010,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -11039,7 +11039,7 @@Method Details
}, ], "rowsLimit": "A String", # Max number of rows to scan. If the table has more rows than this value, the rest of the rows are omitted. If not set, or if set to 0, all rows will be scanned. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. - "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. + "rowsLimitPercent": 42, # Max percentage of rows to scan. The rest are omitted. The number of rows scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of rows_limit and rows_limit_percent can be specified. Cannot be used in conjunction with TimespanConfig. Caution: A [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-sampling) is causing the `rowsLimitPercent` field to behave unexpectedly. We recommend using `rowsLimit` instead. "sampleMethod": "A String", # How to sample the data. "tableReference": { # Message defining the location of a BigQuery table. A table is uniquely identified by its project_id, dataset_id, and table_name. Within a query a table is often referenced with a string in the format of: `:.` or `..`. # Complete BigQuery table reference. "datasetId": "A String", # Dataset ID of the table. @@ -11048,8 +11048,8 @@Method Details
}, }, "cloudStorageOptions": { # Options defining a file or a set of files within a Cloud Storage bucket. # Cloud Storage options. - "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). - "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/dlp/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFile": "A String", # Max number of bytes to scan from a file. If a scanned file's size is bigger than this value then the rest of the bytes are omitted. Only one of `bytes_limit_per_file` and `bytes_limit_per_file_percent` can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). + "bytesLimitPerFilePercent": 42, # Max percentage of bytes to scan from a file. The rest are omitted. The number of bytes scanned is rounded down. Must be between 0 and 100, inclusively. Both 0 and 100 means no limit. Defaults to 0. Only one of bytes_limit_per_file and bytes_limit_per_file_percent can be specified. This field can't be set if de-identification is requested. For certain file types, setting this field has no effect. For more information, see [Limits on bytes scanned per file](https://cloud.google.com/sensitive-data-protection/docs/supported-file-types#max-byte-size-per-file). "fileSet": { # Set of files to scan. # The set of one or more files to scan. "regexFileSet": { # Message representing a set of files in a Cloud Storage bucket. Regular expressions are used to allow fine-grained control over which files in the bucket to include. Included files are those that match at least one item in `include_regex` and do not match any items in `exclude_regex`. Note that a file that matches items from both lists will _not_ be included. For a match to occur, the entire file path (i.e., everything in the url after the bucket name) must match the regular expression. For example, given the input `{bucket_name: "mybucket", include_regex: ["directory1/.*"], exclude_regex: ["directory1/excluded.*"]}`: * `gs://mybucket/directory1/myfile` will be included * `gs://mybucket/directory1/directory2/myfile` will be included (`.*` matches across `/`) * `gs://mybucket/directory0/directory1/myfile` will _not_ be included (the full path doesn't match any items in `include_regex`) * `gs://mybucket/directory1/excludedfile` will _not_ be included (the path matches an item in `exclude_regex`) If `include_regex` is left empty, it will match all files by default (this is equivalent to setting `include_regex: [".*"]`). Some other common use cases: * `{bucket_name: "mybucket", exclude_regex: [".*\.pdf"]}` will include all files in `mybucket` except for .pdf files * `{bucket_name: "mybucket", include_regex: ["directory/[^/]+"]}` will include all files directly under `gs://mybucket/directory/`, without matching across `/` # The regex-filtered set of files to scan. Exactly one of `url` or `regex_file_set` must be set. "bucketName": "A String", # The name of a Cloud Storage bucket. Required. @@ -11097,13 +11097,13 @@Method Details
"enableAutoPopulationOfTimespanConfig": True or False, # When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. "endTime": "A String", # Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. "startTime": "A String", # Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. - "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/dlp/docs/known-issues#bq-timespan) related to this operation. + "timestampField": { # General identifier of a data field in a storage service. # Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. *For BigQuery* If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a `NULL` value in the provided BigQuery column are skipped. Valid data types of the provided BigQuery column are: `INTEGER`, `DATE`, `TIMESTAMP`, and `DATETIME`. If your BigQuery table is [partitioned at ingestion time](https://cloud.google.com/bigquery/docs/partitioned-tables#ingestion_time), you can use any of the following pseudo-columns as your timestamp field. When used with Cloud DLP, these pseudo-column names are case sensitive. - _PARTITIONTIME - _PARTITIONDATE - _PARTITION_LOAD_TIME *For Datastore* If this value is specified, then entities are filtered based on the given start and end times. If an entity does not contain the provided timestamp property or contains empty or invalid values, then it is included. Valid data types of the provided timestamp property are: `TIMESTAMP`. See the [known issue](https://cloud.google.com/sensitive-data-protection/docs/known-issues#bq-timespan) related to this operation. "name": "A String", # Name describing the field. }, }, }, }, - "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. + "snapshotInspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # If run with an InspectTemplate, a snapshot of its state at the time of this run. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -11111,7 +11111,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -11126,16 +11126,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -11145,7 +11145,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11165,15 +11165,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11184,7 +11184,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11196,11 +11196,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11213,7 +11213,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11223,9 +11223,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -11242,13 +11242,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11275,9 +11275,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -11299,7 +11299,7 @@Method Details
{ # Statistics regarding a specific InfoType. "count": "A String", # Number of findings for this infoType. "infoType": { # Type of information detected by the API. # The type of finding this stat is for. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11580,9 +11580,9 @@Method Details
], }, "requestedOptions": { # Risk analysis options. # The configuration used for this job. - "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/dlp/docs/concepts-risk-analysis to learn more. # The job config for the risk job. + "jobConfig": { # Configuration for a risk analysis job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-risk-analysis to learn more. # The job config for the risk job. "actions": [ # Actions to execute at the completion of the job. Are executed in the order provided. - { # A task to execute on the completion of a job. See https://cloud.google.com/dlp/docs/concepts-actions to learn more. + { # A task to execute on the completion of a job. See https://cloud.google.com/sensitive-data-protection/docs/concepts-actions to learn more. "deidentify": { # Create a de-identified copy of the requested table or files. A TransformationDetail will be created for each transformation. If any rows in BigQuery are skipped during de-identification (transformation errors or row size exceeds BigQuery insert API limits) they are placed in the failure output table. If the original row exceeds the BigQuery insert API limit it will be truncated when written to the failure output table. The failure output table can be set in the action.deidentify.output.big_query_output.deidentified_failure_output_table field, if no table is set, a table will be automatically created in the same project and dataset as the original table. Compatible with: Inspect # Create a de-identified copy of the input data. "cloudStorageOutput": "A String", # Required. User settable Cloud Storage bucket and folders to store de-identified files. This field must be set for cloud storage deidentification. The output Cloud Storage bucket must be different from the input bucket. De-identified files will overwrite files in the output path. Form of: gs://bucket/folder/ or gs://bucket "fileTypesToTransform": [ # List of user-specified file type groups to transform. If specified, only the files with these filetypes will be transformed. If empty, all supported files will be transformed. Supported types may be automatically added over time. If a file type is set in this field that isn't supported by the Deidentify action then the job will fail and will not be successfully created/started. Currently the only filetypes supported are: IMAGES, TEXT_FILES, CSV, TSV. @@ -11603,7 +11603,7 @@Method Details
}, "jobNotificationEmails": { # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). # Sends an email when the job completes. The email goes to IAM project owners and technical [Essential Contacts](https://cloud.google.com/resource-manager/docs/managing-notification-contacts). }, - "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/dlp/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. + "pubSub": { # Publish a message into a given Pub/Sub topic when DlpJob has completed. The message contains a single field, `DlpJobName`, which is equal to the finished job's [`DlpJob.name`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/projects.dlpJobs#DlpJob). Compatible with: Inspect, Risk # Publish a notification to a Pub/Sub topic. "topic": "A String", # Cloud Pub/Sub topic to send notifications to. The topic must have given publishing access rights to the DLP API service account executing the long running DlpJob sending the notifications. Format is projects/{project}/topics/{topic}. }, "publishFindingsToCloudDataCatalog": { # Publish findings of a DlpJob to Data Catalog. In Data Catalog, tag templates are applied to the resource that Cloud DLP scanned. Data Catalog tag templates are stored in the same project and region where the BigQuery table exists. For Cloud DLP to create and apply the tag template, the Cloud DLP service agent must have the `roles/datacatalog.tagTemplateOwner` permission on the project. The tag template contains fields summarizing the results of the DlpJob. Any field values previously written by another DlpJob are deleted. InfoType naming patterns are strictly enforced when using this feature. Findings are persisted in Data Catalog storage and are governed by service-specific policies for Data Catalog. For more information, see [Service Specific Terms](https://cloud.google.com/terms/service-terms). Only a single instance of this action can be specified. This action is allowed only if all resources being scanned are BigQuery tables. Compatible with: Inspect # Publish findings to Cloud Datahub. @@ -11660,7 +11660,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11712,7 +11712,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11781,7 +11781,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -11833,7 +11833,7 @@Method Details
"inferred": { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } # If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data }, "infoType": { # Type of information detected by the API. # A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, diff --git a/docs/dyn/dlp_v2.projects.locations.html b/docs/dyn/dlp_v2.projects.locations.html index 0268e1bded..d426de3cd2 100644 --- a/docs/dyn/dlp_v2.projects.locations.html +++ b/docs/dyn/dlp_v2.projects.locations.html @@ -74,6 +74,11 @@Sensitive Data Protection (DLP) . projects . locations
Instance Methods
+ +Returns the columnDataProfiles Resource.
+ @@ -109,11 +114,21 @@Instance Methods
Returns the jobTriggers Resource.
+ +Returns the projectDataProfiles Resource.
+Returns the storedInfoTypes Resource.
+ +Returns the tableDataProfiles Resource.
+Close httplib2 connections.
diff --git a/docs/dyn/dlp_v2.projects.locations.image.html b/docs/dyn/dlp_v2.projects.locations.image.html index d9600f4db2..d34acdd90b 100644 --- a/docs/dyn/dlp_v2.projects.locations.image.html +++ b/docs/dyn/dlp_v2.projects.locations.image.html @@ -79,7 +79,7 @@Instance Methods
Close httplib2 connections.
-
redact(parent, body=None, x__xgafv=None)Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/dlp/docs/redacting-sensitive-data-images to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
+Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/sensitive-data-protection/docs/redacting-sensitive-data-images to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated.
Method Details
close()@@ -88,10 +88,10 @@Method Details
redact(parent, body=None, x__xgafv=None)-Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/dlp/docs/redacting-sensitive-data-images to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. +Redacts potentially sensitive info from an image. This method has limits on input size, processing time, and output size. See https://cloud.google.com/sensitive-data-protection/docs/redacting-sensitive-data-images to learn more. When no InfoTypes or CustomInfoTypes are specified in this request, the system will automatically choose what detectors to run. By default this may be all types, but may change over time as detectors are updated. Args: - parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Parent resource name. The format of this value varies depending on whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: @@ -103,7 +103,7 @@Method Details
"imageRedactionConfigs": [ # The configuration for specifying what content to redact from images. { # Configuration for determining how redaction of images should occur. "infoType": { # Type of information detected by the API. # Only one per info_type should be provided per request. If not specified, and redact_all_text is false, the DLP API will redact all text that it matches against all info_types that are found, but not specified in another ImageRedactionConfig. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -122,7 +122,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -137,16 +137,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -156,7 +156,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -176,15 +176,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -195,7 +195,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -207,11 +207,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -224,7 +224,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -234,9 +234,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -253,13 +253,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -286,9 +286,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -315,7 +315,7 @@Method Details
"createTime": "A String", # Timestamp when finding was detected. "findingId": "A String", # The unique finding id. "infoType": { # Type of information detected by the API. # The type of content that might have been found. Provided if `excluded_types` is false. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -382,7 +382,7 @@Method Details
"tableId": "A String", # Name of the table. }, }, - "datastoreKey": { # Record key for a finding in Cloud Datastore. # Bigquery key + "datastoreKey": { # Record key for a finding in Cloud Datastore. # BigQuery key "entityKey": { # A unique identifier for a Datastore entity. If a key's partition ID or any of its path kinds or names are reserved/read-only, the key is reserved/read-only. A reserved/read-only key is forbidden in certain documented contexts. # Datastore entity key. "partitionId": { # Datastore partition ID. A partition ID identifies a grouping of entities. The grouping is always by project and namespace, however the namespace ID may be empty. A partition ID contains several dimensions: project ID and namespace ID. # Entities are partitioned into subsets, currently identified by a project ID and namespace ID. Queries are scoped to a single partition. "namespaceId": "A String", # If not empty, the ID of the namespace to which the entities belong. diff --git a/docs/dyn/dlp_v2.projects.locations.inspectTemplates.html b/docs/dyn/dlp_v2.projects.locations.inspectTemplates.html index ddbd442429..42c9a54e1e 100644 --- a/docs/dyn/dlp_v2.projects.locations.inspectTemplates.html +++ b/docs/dyn/dlp_v2.projects.locations.inspectTemplates.html @@ -79,22 +79,22 @@Instance Methods
Close httplib2 connections.
-
create(parent, body=None, x__xgafv=None)Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-Deletes an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Deletes an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-Gets an InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Gets an InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
-
list(parent, locationId=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)Lists InspectTemplates. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Lists InspectTemplates. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
Retrieves the next page of results.
-
patch(name, body=None, x__xgafv=None)Updates the InspectTemplate. See https://cloud.google.com/dlp/docs/creating-templates to learn more.
+Updates the InspectTemplate. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more.
Method Details
close()@@ -103,15 +103,15 @@Method Details
create(parent, body=None, x__xgafv=None)-Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/dlp/docs/creating-templates to learn more. +Creates an InspectTemplate for reusing frequently used configuration for inspecting content, images, and storage. See https://cloud.google.com/sensitive-data-protection/docs/creating-templates to learn more. Args: - parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/dlp/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) + parent: string, Required. Parent resource name. The format of this value varies depending on the scope of the request (project or organization) and whether you have [specified a processing location](https://cloud.google.com/sensitive-data-protection/docs/specifying-location): + Projects scope, location specified: `projects/`PROJECT_ID`/locations/`LOCATION_ID + Projects scope, no location specified (defaults to global): `projects/`PROJECT_ID + Organizations scope, location specified: `organizations/`ORG_ID`/locations/`LOCATION_ID + Organizations scope, no location specified (defaults to global): `organizations/`ORG_ID The following example `parent` string specifies a parent project with the identifier `example-project`, and specifies the `europe-west3` location for processing data: parent=projects/example-project/locations/europe-west3 (required) body: object, The request body. The object takes the form of: { # Request message for CreateInspectTemplate. - "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. # Required. The InspectTemplate to create. + "inspectTemplate": { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. # Required. The InspectTemplate to create. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -119,7 +119,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -134,16 +134,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -153,7 +153,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -173,15 +173,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -192,7 +192,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -204,11 +204,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -221,7 +221,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -231,9 +231,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -250,13 +250,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -283,9 +283,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -308,7 +308,7 @@Method Details
Returns: An object of the form: - { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/dlp/docs/concepts-templates to learn more. + { # The inspectTemplate contains a configuration (set of types of sensitive data to be detected) to be used anywhere you otherwise would normally specify InspectConfig. See https://cloud.google.com/sensitive-data-protection/docs/concepts-templates to learn more. "createTime": "A String", # Output only. The creation timestamp of an inspectTemplate. "description": "A String", # Short description (max 256 chars). "displayName": "A String", # Display name (max 256 chars). @@ -316,7 +316,7 @@Method Details
"contentOptions": [ # Deprecated and unused. "A String", ], - "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/dlp/docs/creating-custom-infotypes to learn more. + "customInfoTypes": [ # CustomInfoTypes provided by the user. See https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes to learn more. { # Custom information type provided by the user. Used to find domain-specific sensitive information configurable to the data in question. "detectionRules": [ # Set of detection rules to apply to all findings of this CustomInfoType. Rules are applied in order that they are specified. Not supported for the `surrogate_type` CustomInfoType. { # Deprecated; use `InspectionRuleSet` instead. Rule for modifying a `CustomInfoType` to alter behavior under certain circumstances, depending on the specific details of the rule. Not supported for the `surrogate_type` custom infoType. @@ -331,16 +331,16 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, ], - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # A list of phrases to detect as a CustomInfoType. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -350,7 +350,7 @@Method Details
}, "exclusionType": "A String", # If set to EXCLUSION_TYPE_EXCLUDE this infoType will not cause a finding to be returned. It still can be used for rules matching. "infoType": { # Type of information detected by the API. # CustomInfoType can either be a new infoType, or an extension of built-in infoType, when the name matches one of existing infoTypes and that infoType is specified in `InspectContent.info_types` field. Specifying the latter adds findings to the one detected by the system. If built-in info type is not specified in `InspectContent.info_types` list then the name is treated as a custom info type. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -370,15 +370,15 @@Method Details
"createTime": "A String", # Timestamp indicating when the version of the `StoredInfoType` used for inspection was created. Output-only field, populated by the system. "name": "A String", # Resource name of the requested `StoredInfoType`, for example `organizations/433245324/storedInfoTypes/432452342` or `projects/project-id/storedInfoTypes/432452342`. }, - "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/dlp/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. + "surrogateType": { # Message for detecting output from deidentification transformations such as [`CryptoReplaceFfxFpeConfig`](https://cloud.google.com/sensitive-data-protection/docs/reference/rest/v2/organizations.deidentifyTemplates#cryptoreplaceffxfpeconfig). These types of transformations are those that perform pseudonymization, thereby producing a "surrogate" as output. This should be used in conjunction with a field on the transformation such as `surrogate_info_type`. This CustomInfoType does not support the use of `detection_rules`. # Message for detecting output from deidentification transformations that support reversing. }, }, ], "excludeInfoTypes": True or False, # When true, excludes type information of the findings. This is not used for data profiling. "includeQuote": True or False, # When true, a contextual quote from the data that triggered a finding is included in the response; see Finding.quote. This is not used for data profiling. - "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/dlp/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. + "infoTypes": [ # Restricts what info_types to look for. The values must correspond to InfoType values returned by ListInfoTypes or listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference. When no InfoTypes or CustomInfoTypes are specified in a request, the system may automatically choose a default list of detectors to run, which may change over time. If you need precise control and predictability as to what detectors are run you should specify specific InfoTypes listed in the reference, otherwise a default list will be used, which may change over time. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -389,7 +389,7 @@Method Details
"maxFindingsPerInfoType": [ # Configuration of findings limit given for specified infoTypes. { # Max findings configuration per infoType, per content item or long running DlpJob. "infoType": { # Type of information detected by the API. # Type of information the findings limit applies to. Only one limit per info_type should be provided. If InfoTypeLimit does not have an info_type, the DLP API applies the limit against all info_types that are found but not specified in another InfoTypeLimit. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -401,11 +401,11 @@Method Details
"maxFindingsPerItem": 42, # Max number of findings that are returned for each item scanned. When set within an InspectContentRequest, this field is ignored. This value isn't a hard limit. If the number of findings for an item reaches this limit, the inspection of that item ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns for the item can be multiple times higher than this value. "maxFindingsPerRequest": 42, # Max number of findings that are returned per request or job. If you set this field in an InspectContentRequest, the resulting maximum value is the value that you set or 3,000, whichever is lower. This value isn't a hard limit. If an inspection reaches this limit, the inspection ends gradually, not abruptly. Therefore, the actual number of findings that Cloud DLP returns can be multiple times higher than this value. }, - "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/dlp/docs/likelihood). + "minLikelihood": "A String", # Only returns findings equal to or above this threshold. The default is POSSIBLE. In general, the highest likelihood setting yields the fewest findings in results and the lowest chance of a false positive. For more information, see [Match likelihood](https://cloud.google.com/sensitive-data-protection/docs/likelihood). "minLikelihoodPerInfoType": [ # Minimum likelihood per infotype. For each infotype, a user can specify a minimum likelihood. The system only returns a finding if its likelihood is above this threshold. If this field is not set, the system uses the InspectConfig min_likelihood. { # Configuration for setting a minimum likelihood per infotype. Used to customize the minimum likelihood level for specific infotypes in the request. For example, use this if you want to lower the precision for PERSON_NAME without lowering the precision for the other infotypes in the request. "infoType": { # Type of information detected by the API. # Type of information the likelihood threshold applies to. Only one likelihood per info_type should be provided. If InfoTypeLikelihood does not have an info_type, the configuration fails. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -418,7 +418,7 @@Method Details
{ # Rule set for modifying a set of infoTypes to alter behavior under certain circumstances, depending on the specific details of the rules within the set. "infoTypes": [ # List of infoTypes this rule set is applied to. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -428,9 +428,9 @@Method Details
"rules": [ # Set of rules to be applied to infoTypes. The rules are applied in order. { # A single inspection rule to be applied to infoTypes, specified in `InspectionRuleSet`. "exclusionRule": { # The rule that specifies conditions when findings of infoTypes specified in `InspectionRuleSet` are removed from results. # Exclusion rule. - "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/dlp/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. + "dictionary": { # Custom information type based on a dictionary of words or phrases. This can be used to match sensitive information specific to the data, such as a list of employee IDs or job titles. Dictionary words are case-insensitive and all characters other than letters and digits in the unicode [Basic Multilingual Plane](https://en.wikipedia.org/wiki/Plane_%28Unicode%29#Basic_Multilingual_Plane) will be replaced with whitespace when scanning for matches, so the dictionary phrase "Sam Johnson" will match all three phrases "sam johnson", "Sam, Johnson", and "Sam (Johnson)". Additionally, the characters surrounding any match must be of a different type than the adjacent characters within the word, so letters must be next to non-letters and digits next to non-digits. For example, the dictionary word "jen" will match the first three letters of the text "jen123" but will return no matches for "jennifer". Dictionary words containing a large number of characters that are not letters or digits may result in unexpected findings because such characters are treated as whitespace. The [limits](https://cloud.google.com/sensitive-data-protection/limits) page contains details about the size limits of dictionaries. For dictionaries that do not fit within these constraints, consider using `LargeCustomDictionaryConfig` in the `StoredInfoType` API. # Dictionary which defines the rule. "cloudStoragePath": { # Message representing a single file or path in Cloud Storage. # Newline-delimited file of words in Cloud Storage. Only a single file is accepted. - "path": "A String", # A url representing a file or path (no wildcards) in Cloud Storage. Example: gs://[BUCKET_NAME]/dictionary.txt + "path": "A String", # A URL representing a file or path (no wildcards) in Cloud Storage. Example: `gs://[BUCKET_NAME]/dictionary.txt` }, "wordList": { # Message defining a list of words or phrases to search for in the data. # List of words or phrases to search for. "words": [ # Words or phrases defining the dictionary. The dictionary must contain at least one phrase and every phrase must contain at least 2 characters that are letters or digits. [required] @@ -447,13 +447,13 @@Method Details
}, "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The windowBefore property in proximity should be set to 1 if the hotword needs to be included in a column header. "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, "excludeInfoTypes": { # List of excluded infoTypes. # Set of infoTypes for which findings would affect this rule. "infoTypes": [ # InfoType list in ExclusionRule rule drops a finding when it overlaps or contained within with a finding of an infoType from this list. For example, for `InspectionRuleSet.info_types` containing "PHONE_NUMBER"` and `exclusion_rule` containing `exclude_info_types.info_types` with "EMAIL_ADDRESS" the phone number findings are dropped if they overlap with EMAIL_ADDRESS finding. That leads to "555-222-2222@example.org" to generate only a single finding, namely email address. { # Type of information detected by the API. - "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/dlp/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. + "name": "A String", # Name of the information type. Either a name of your choosing when creating a CustomInfoType, or one of the names listed at https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference when specifying a built-in type. When sending Cloud DLP results to Data Catalog, infoType names should conform to the pattern `[A-Za-z0-9$_-]{1,64}`. "sensitivityScore": { # Score is calculated from of all elements in the data profile. A higher level means the data is more sensitive. # Optional custom sensitivity for this InfoType. This only applies to data profiling. "score": "A String", # The sensitivity score applied to the resource. }, @@ -480,9 +480,9 @@Method Details
"fixedLikelihood": "A String", # Set the likelihood of a finding to a fixed value. "relativeLikelihood": 42, # Increase or decrease the likelihood by the specified number of levels. For example, if a finding would be `POSSIBLE` without the detection rule and `relative_likelihood` is 1, then it is upgraded to `LIKELY`, while a value of -1 would downgrade it to `UNLIKELY`. Likelihood may never drop below `VERY_UNLIKELY` or exceed `VERY_LIKELY`, so applying an adjustment of 1 followed by an adjustment of -1 when base likelihood is `VERY_LIKELY` will result in a final likelihood of `LIKELY`. }, - "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "proximity": { # Message for specifying a window around a finding to apply a detection rule. # Range of characters within which the entire hotword must reside. The total length of the window cannot exceed 1000 characters. The finding itself will be included in the window, so that hotwords can be used to match substrings of the finding itself. Suppose you want Cloud DLP to promote the likelihood of the phone number regex "\(\d{3}\) \d{3}-\d{4}" if the area code is known to be the area code of a company's office. In this case, use the hotword regex "\(xxx\)", where "xxx" is the area code in question. For tabular data, if you want to modify the likelihood of an entire column of findngs, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). "windowAfter": 42, # Number of characters after the finding to consider. - "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/dlp/docs/creating-custom-infotypes-likelihood#match-column-values). + "windowBefore": 42, # Number of characters before the finding to consider. For tabular data, if you want to modify the likelihood of an entire column of findngs, set this to 1. For more information, see [Hotword example: Set the match likelihood of a table column] (https://cloud.google.com/sensitive-data-protection/docs/creating-custom-infotypes-likelihood#match-column-values). }, }, }, @@ -497,7 +497,7 @@Method Details